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Vacature Radboudumc (university medical center) - PhD candidate 'Radiomics and distributed data-mining to develop oncological prediction models'

Specificaties - (uitleg)

Locatie Nijmegen
FunctietypesPhD positions
Wetenschappelijke disciplineEngineering, computer science, (applied) physics, mathematics, biomedical engineering
Uren 36,0 uren per week
Werk-/denkniveauUniversity Graduate
Vertalingen
About employer Radboud University Medical Center (Radboudumc)
Short link www.academictransfer.com/41419

Functiebeschrijving

In order to build accurate prediction models, a large amount of data of already treated patients is needed. This implies that data from different hospitals, even different countries, needs to be combined to enable unified building and validation of the oncological models. The aim of the project you will work on is to build and use an IT infrastructure that makes this possible.

Your activities will be to contribute to building an IT infrastructure that facilitates data sharing and data extraction among different (geographical) sites and between different datasets.This will entail creating state of the art IT technology such as building ontologies to make data interpretable in a uniform manner and making them universally accessible by using semantic web technologies and adapting them to data mining and model building in the field of oncology and radiomics. Using this infrastructure you will combine the data from the different institutes to make models that will predict the effectiveness of a certain treatment for an individual patient. You will work in an international team and will collaborate with institutes in the Netherlands (Erasmus MC, NKI etcetera) but also internationally (Moffitt / USF (USA) and Tianjin (China)).                

Functie-eisen

You have a Msc degree in computer science, (applied) physics, mathematics, biomedical engineering or a comparable degree and you have extensive experience in programming and image analysis. Prior knowledge of statistical techniques such as machine learning is desirable. You are attracted to working on clinical problems and you like working in a (multidisciplinary) team.

Arbeidsvoorwaarden

  • Appointment will be for a maximum of four years.
  • Salary is € 2244 gross per month in the first year up to a maximum of € 2874 gross per month in the last fourth year, plus additional vacation bonus (8% per year) and end of year payments (8.3% per year).

Dienstverband: Temporary, 4 years

Werkgever

Radboudumc (university medical center)

Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare. To get a better picture of what this entails, check out our strategy film.

Our key strength is medical life-sciences and clinical practice, with an impressive infrastructure comprising state-of-the-art technology platforms and (translational) research facilities. The Radboudumc is therefore uniquely positioned in the emerging Euregio and Dutch healthcare infrastructure to play a leading role in the new healthcare paradigm of prediction, prevention and personalised medicine.

The Radboudumc focuses on scientific health challenges of today, with an eye on emerging diseases of the future.

Read more about what it means to work at Radboudumc and how you can do your part.

Afdeling

Radiology and Nuclear Medicine

Radboudumc and Maastro collaborate in building predictive models in the field of radiation oncology. The aim of the project you will be working on is to develop oncological prediction models that use available patient data to predict the outcome and toxicity of the different treatment options. Among others, you will apply radiomics analysis of the imaging data (CT, MR etc.) to extract relevant parameters to further improve the accuracy of the predictions. Using these models both patient and doctor will be enabled to choose the optimal treatment for the patient.

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

Meer informatie over en actuele vacatures van Radboud University Medical Center (Radboudumc) on AcademicTransfer.

More vacancies of function type: PhD positions;
of scientific field: Engineering;computer science, (applied) physics, mathematics, biomedical engineering.
bewaar

Specificaties - (uitleg)

Locatie Nijmegen
FunctietypesPhD positions
Wetenschappelijke disciplineEngineering, computer science, (applied) physics, mathematics, biomedical engineering
Uren 36,0 uren per week
Werk-/denkniveauUniversity Graduate
Vertalingen
About employer Radboud University Medical Center (Radboudumc)
Short link www.academictransfer.com/41419

Functiebeschrijving

In order to build accurate prediction models, a large amount of data of already treated patients is needed. This implies that data from different hospitals, even different countries, needs to be combined to enable unified building and validation of the oncological models. The aim of the project you will work on is to build and use an IT infrastructure that makes this possible.

Your activities will be to contribute to building an IT infrastructure that facilitates data sharing and data extraction among different (geographical) sites and between different datasets.This will entail creating state of the art IT technology such as building ontologies to make data interpretable in a uniform manner and making them universally accessible by using semantic web technologies and adapting them to data mining and model building in the field of oncology and radiomics. Using this infrastructure you will combine the data from the different institutes to make models that will predict the effectiveness of a certain treatment for an individual patient. You will work in an international team and will collaborate with institutes in the Netherlands (Erasmus MC, NKI etcetera) but also internationally (Moffitt / USF (USA) and Tianjin (China)).                

Functie-eisen

You have a Msc degree in computer science, (applied) physics, mathematics, biomedical engineering or a comparable degree and you have extensive experience in programming and image analysis. Prior knowledge of statistical techniques such as machine learning is desirable. You are attracted to working on clinical problems and you like working in a (multidisciplinary) team.

Arbeidsvoorwaarden

  • Appointment will be for a maximum of four years.
  • Salary is € 2244 gross per month in the first year up to a maximum of € 2874 gross per month in the last fourth year, plus additional vacation bonus (8% per year) and end of year payments (8.3% per year).

Dienstverband: Temporary, 4 years

Werkgever

Radboudumc (university medical center)

Radboudumc strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. This is the core of our mission: To have a significant impact on healthcare. To get a better picture of what this entails, check out our strategy film.

Our key strength is medical life-sciences and clinical practice, with an impressive infrastructure comprising state-of-the-art technology platforms and (translational) research facilities. The Radboudumc is therefore uniquely positioned in the emerging Euregio and Dutch healthcare infrastructure to play a leading role in the new healthcare paradigm of prediction, prevention and personalised medicine.

The Radboudumc focuses on scientific health challenges of today, with an eye on emerging diseases of the future.

Read more about what it means to work at Radboudumc and how you can do your part.

Afdeling

Radiology and Nuclear Medicine

Radboudumc and Maastro collaborate in building predictive models in the field of radiation oncology. The aim of the project you will be working on is to develop oncological prediction models that use available patient data to predict the outcome and toxicity of the different treatment options. Among others, you will apply radiomics analysis of the imaging data (CT, MR etc.) to extract relevant parameters to further improve the accuracy of the predictions. Using these models both patient and doctor will be enabled to choose the optimal treatment for the patient.

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Radboud University Medical Center (Radboudumc)