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10 oktober 2017: vertraging in ontvangst AcademicTransfer e-mails. Heb je van je sollicitatie nog geen kopie ontvangen? Lees meer.

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Vacature University of Amsterdam - Postdoctoral researcher Network-based data integration HRS4R

Specificaties - (uitleg)

Locatie Science Park Amsterdam
FunctietypesPostdoc positions
Wetenschappelijke disciplineNatural Sciences
Uren 38,0 uren per week
Salaris € 2552 - € 4028
Werk-/denkniveauDoctorate
Vacaturenummer 17-188
Vertalingen
About employer University of Amsterdam (UvA)
Short link www.academictransfer.com/39870

Functiebeschrijving

The Swammerdam Institute for Life Sciences (SILS) has a vacancy for a Postdoctoral researcher Network-based data integration.

In a growing number of cases in systems biology, multiple connected data sets are collected. This can be multiple genomics data measured on the same system (e.g. measured on the same subjects/patients) or the same set of biochemical entities on related systems (e.g. gene-expression of cancer cell lines). There is growing awareness that such data should be analysed and modelled simultaneously, in order to arrive at a global understanding of the whole system. A fruitful approach to tackle this problem is to build empirical models of all related data sets simultaneously by using data fusion or data integration methods. In essence, all these methods are based on correlations and are generalizations of component or factor analysis. Hence, they are purely data driven.           

Several extensions of the existing data fusion methods can be envisioned. Increasingly pathway information is available for a system, and then an initial break-down of the data in pathways can be accomplished and the analysis can be focussed on studying the behaviour of a pathway measured under different conditions. In that case, the different conditions have to be encoded and brought in as a priori information in the data fusion method. To take this one step further, it will be of interest to study the relationship between pathways (initially metabolic pathways, but signal transduction pathways will be considered), perhaps also as a function of conditions. In that case, the grouping of the different pathways has to be imposed on the data fusion methods. Finally, it may also be that part of the biological network is known and imposing this known structure (e.g. the topology of this known part) focusses the data analysis and makes the results of the global model more interpretable.

A new set of data fusion methods have to be developed that combine biological information (pathways, network or known biological relationships) and empirical data fusion methods. Vehicles of accomplishing this are penalized methods and Bayesian methods. These methods will be developed, tested and validated in close collaboration with the medical biology partners.

Functie-eisen

Candidates should have a PhD in the Life Sciences (bioinformatics, systems biology, data analysis or chemometrics).

Arbeidsvoorwaarden

The appointment will be on a temporary basis for a period of 18 months.

Based on a full-time appointment (38 hours per week) the gross monthly salary will range from €2,552 to maximal €4,028 (scale 10), depending on experience. The Collective Labour Agreement for Dutch Universities is applicable.

Werkgever

University of Amsterdam

With over 5,000 employees, 30,000 students and a budget of more than 600 million euros, the University of Amsterdam (UvA) is an intellectual hub within the Netherlands. Teaching and research at the UvA are conducted within seven faculties: Humanities, Social and Behavioural Sciences, Economics and Business, Law, Science, Medicine and Dentistry. Housed on four city campuses in or near the heart of Amsterdam, where disciplines come together and interact, the faculties have close links with thousands of researchers and hundreds of institutions at home and abroad. 

The UvA’s students and employees are independent thinkers, competent rebels who dare to question dogmas and aren’t satisfied with easy answers and standard solutions. To work at the UvA is to work in an independent, creative, innovative and international climate characterised by an open atmosphere and a genuine engagement with the city of Amsterdam and society.

Afdeling

Swammerdam Institute for Life Sciences (SILS)

The Swammerdam Institute for Life Sciences (SILS) is one of the largest institutes of the Faculty of Science. Its approximately 240 scientists and staff members work in 16 research groups that perform excellent research centered on three themes:

  1. Cell & Systems Biology;
  2. Neurosciences, and
  3. Molecular Life Sciences.

The SILS research group of prof. Age Smilde works on Biosystems Data Analysis. This project is part of the Life Science node of the Amsterdam Data Science Center (ADS). It is a collaboration between prof. Smilde’s group, and the group of prof. Bas Teusink (VU University Amsterdam).

The shared postdoctoral researcher will be appointed at the UvA but work in both groups. External collaboration is foreseen with several medical biology groups. For the setup of the ADS Life node, we will explicitly collaborate with the Cancer Centre at the VUmc, where they study a large collections of cancer cell lines. There exist also long-term collaborations with the AMC and with Copenhagen University, in particular the COPSAC group, which owns a world-leading children cohort focussing on asthma. All these collaborations ensure relevant medical research questions and data.

U kunt niet meer op deze vacature solliciteren / You cannot apply for this job anymore..

Meer informatie over en actuele vacatures van University of Amsterdam (UvA) on AcademicTransfer.

More vacancies of function type: Postdoc positions;
of scientific field: Natural Sciences.
bewaar

Specificaties - (uitleg)

Locatie Science Park Amsterdam
FunctietypesPostdoc positions
Wetenschappelijke disciplineNatural Sciences
Uren 38,0 uren per week
Salaris € 2552 - € 4028
Werk-/denkniveauDoctorate
Vacaturenummer 17-188
Vertalingen
About employer University of Amsterdam (UvA)
Short link www.academictransfer.com/39870

Functiebeschrijving

The Swammerdam Institute for Life Sciences (SILS) has a vacancy for a Postdoctoral researcher Network-based data integration.

In a growing number of cases in systems biology, multiple connected data sets are collected. This can be multiple genomics data measured on the same system (e.g. measured on the same subjects/patients) or the same set of biochemical entities on related systems (e.g. gene-expression of cancer cell lines). There is growing awareness that such data should be analysed and modelled simultaneously, in order to arrive at a global understanding of the whole system. A fruitful approach to tackle this problem is to build empirical models of all related data sets simultaneously by using data fusion or data integration methods. In essence, all these methods are based on correlations and are generalizations of component or factor analysis. Hence, they are purely data driven.           

Several extensions of the existing data fusion methods can be envisioned. Increasingly pathway information is available for a system, and then an initial break-down of the data in pathways can be accomplished and the analysis can be focussed on studying the behaviour of a pathway measured under different conditions. In that case, the different conditions have to be encoded and brought in as a priori information in the data fusion method. To take this one step further, it will be of interest to study the relationship between pathways (initially metabolic pathways, but signal transduction pathways will be considered), perhaps also as a function of conditions. In that case, the grouping of the different pathways has to be imposed on the data fusion methods. Finally, it may also be that part of the biological network is known and imposing this known structure (e.g. the topology of this known part) focusses the data analysis and makes the results of the global model more interpretable.

A new set of data fusion methods have to be developed that combine biological information (pathways, network or known biological relationships) and empirical data fusion methods. Vehicles of accomplishing this are penalized methods and Bayesian methods. These methods will be developed, tested and validated in close collaboration with the medical biology partners.

Functie-eisen

Candidates should have a PhD in the Life Sciences (bioinformatics, systems biology, data analysis or chemometrics).

Arbeidsvoorwaarden

The appointment will be on a temporary basis for a period of 18 months.

Based on a full-time appointment (38 hours per week) the gross monthly salary will range from €2,552 to maximal €4,028 (scale 10), depending on experience. The Collective Labour Agreement for Dutch Universities is applicable.

Werkgever

University of Amsterdam

With over 5,000 employees, 30,000 students and a budget of more than 600 million euros, the University of Amsterdam (UvA) is an intellectual hub within the Netherlands. Teaching and research at the UvA are conducted within seven faculties: Humanities, Social and Behavioural Sciences, Economics and Business, Law, Science, Medicine and Dentistry. Housed on four city campuses in or near the heart of Amsterdam, where disciplines come together and interact, the faculties have close links with thousands of researchers and hundreds of institutions at home and abroad. 

The UvA’s students and employees are independent thinkers, competent rebels who dare to question dogmas and aren’t satisfied with easy answers and standard solutions. To work at the UvA is to work in an independent, creative, innovative and international climate characterised by an open atmosphere and a genuine engagement with the city of Amsterdam and society.

Afdeling

Swammerdam Institute for Life Sciences (SILS)

The Swammerdam Institute for Life Sciences (SILS) is one of the largest institutes of the Faculty of Science. Its approximately 240 scientists and staff members work in 16 research groups that perform excellent research centered on three themes:

  1. Cell & Systems Biology;
  2. Neurosciences, and
  3. Molecular Life Sciences.

The SILS research group of prof. Age Smilde works on Biosystems Data Analysis. This project is part of the Life Science node of the Amsterdam Data Science Center (ADS). It is a collaboration between prof. Smilde’s group, and the group of prof. Bas Teusink (VU University Amsterdam).

The shared postdoctoral researcher will be appointed at the UvA but work in both groups. External collaboration is foreseen with several medical biology groups. For the setup of the ADS Life node, we will explicitly collaborate with the Cancer Centre at the VUmc, where they study a large collections of cancer cell lines. There exist also long-term collaborations with the AMC and with Copenhagen University, in particular the COPSAC group, which owns a world-leading children cohort focussing on asthma. All these collaborations ensure relevant medical research questions and data.

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University of Amsterdam (UvA)