PhD Candidates (f/m/x) – Functional Omics of Neurodegenerative Diseases (Code 1298/2024/3)

PhD Candidates (f/m/x) – Functional Omics of Neurodegenerative Diseases (Code 1298/2024/3)

Published Deadline Location
22 Mar 20 May BN
We are looking for enthusiastic and ambitious students who are keen to work on the functional omics of aging and age-related diseases as part of their PhD.

Job description

The job holder will be part of the Population Health Sciences group, led by Prof Dr Monique M B Breteler, and located at the headquarters of the German Center for Neurodegenerative Diseases (DZNE) in Bonn. We study causes and biomarkers of normal and pathological mental and physical health, with a special emphasis on neurodegenerative diseases and aging. The research is primarily based on the Rhineland Study, a prospective cohort study that emphasizes deep phenotyping. The study currently includes more than 11,000 participants at baseline, follow-up data is already available from nearly 5,000 participants, and further data collection is ongoing. Available clinical data include detailed structural and functional brain imaging, cognitive and neurological assessments, cardiovascular and anthropometric assessments, sensory systems tests, medical history, and medication use. We further have detailed exposome data, including information on physical activity, diet, and environmental toxin and temperature exposure. Importantly, we have extensive multi-omics data, both from baseline and follow-up, including genomic and epigenomic data (miRNA sequencing, DNA-methylation), transcriptomics, metabolomics, lipidomics, and proteomics data.

Your tasks

You will integrate different layers of OMICS data (both cross-sectional and longitudinal) to investigate biological questions related to health outcomes with a specific focus on neurodegeneration. Responsibilities include: participation in and supervision of data acquisition and processing; data analysis and preparation of manuscripts for publication in peer-reviewed journals; active participation in national and international conferences.

Specifications

German Center for Neurodegenerative Diseases (DZNE)

Requirements

Your profile

  • Excellent master’s degree in bioinformatics, epidemiology, biomedical sciences, or a related discipline
  • Demonstrable interest in quantitative research, the possession of strong analytical skills
  • First experience with analyzing high-throughput sequencing data (e.g., RNA-Seq) and performing quality control for such data is a plus, as is experience in epidemiological research or large-scale clinical studies
  • First programming experience (preferably in R)
  • Excellent analytical and problem-solving skills
  • Proficiency in spoken and written English is required
  • Enjoyment of working as part of an interdisciplinary and international team

Conditions of employment

Fixed-term contract: 3 years, with the possibility of extension.

We offer

  • An interesting and challenging position on the forefront of health research
  • Work in a highly interdisciplinary and international team to address pressing health issues related to aging
  • Excellent scientific infrastructure with state-of-the-art research and computational facilities
  • Active encouragement and support of our employees’ individual development
  • Employment, payment, and social benefits in line with the Public Sector Collective Agreement (Tarifvertrag für den öffentlichen Dienst)

Additional information

The PhD position will be integrated into the Bonn International Graduate School of Clinical and Population Science and further training in epidemiological, statistical, and computational methods will be provided as needed. The position is initially limited to three years with the possibility of extension.

You will obtain special skills and knowledge for your scientific qualification during your activities at DZNE. The DZNE is an equal opportunity employer. It is committed to employing disabled individuals and especially encourages them to apply.

How to apply

Interested applicants should submit, as one single PDF file, a CV, transcripts, three references, and a cover letter describing your research interest and experience, through the following the application button below.

Review of applications will begin immediately and continue until the position is filled. For inquiries about the position, please contact: population-research@dzne.de.

Specifications

  • Research, development, innovation
  • Health; Natural sciences; Food
  • University graduate
  • PA DZNE 20240322-2

Employer

German Center for Neurodegenerative Diseases (DZNE)

Learn more about this employer

Location

Venusberg Campus 1/99, 53127, BN

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Application procedure

The PhD position will be integrated into the Bonn International Graduate School of Clinical and Population Science and further training in epidemiological, statistical, and computational methods will be provided as needed. The position is initially limited to three years with the possibility of extension.

You will obtain special skills and knowledge for your scientific qualification during your activities at DZNE. The DZNE is an equal opportunity employer. It is committed to employing disabled individuals and especially encourages them to apply.

How to apply

Interested applicants should submit, as one single PDF file, a CV, transcripts, three references, and a cover letter describing your research interest and experience, through the following application button on this page.

Review of applications will begin immediately and continue until the position is filled.

Application procedure

Application procedure

The PhD position will be integrated into the Bonn International Graduate School of Clinical and Population Science and further training in epidemiological, statistical, and computational methods will be provided as needed. The position is initially limited to three years with the possibility of extension.

You will obtain special skills and knowledge for your scientific qualification during your activities at DZNE. The DZNE is an equal opportunity employer. It is committed to employing disabled individuals and especially encourages them to apply.

How to apply

Interested applicants should submit, as one single PDF file, a CV, transcripts, three references, and a cover letter describing your research interest and experience, through the following application button on this page.

Review of applications will begin immediately and continue until the position is filled.

Make sure to apply no later than 20 May 2024 23:59 (Europe/Amsterdam).