Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- Technical University of Munich
- Leibniz
- Fraunhofer-Gesellschaft
- University of Tübingen
- Max Planck Institute for Demographic Research (MPIDR)
- Academic Europe
- Free University of Berlin
- Heidelberg University
- Ludwig-Maximilians-Universität München
- Max Planck Institute for Chemistry, Mainz
- Max Planck Institute for Evolutionary Anthropology, Leipzig
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Max Planck Society
- 5 more »
- « less
-
Field
-
applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL
-
annual bonus and company pension scheme Family-friendly flexibility: Flexible working time models, access to a place in our company daycare center, and programs supporting employees returning from parental
-
applications for a postdoctoral researcher to join an interdisciplinary research program within the PRELUNG study, focusing on early lung cancer detection and biological characterization of pulmonary nodules
-
level Remuneration according to TV-L incl. occupational pension plan and capital-forming payments 30 days of vacation per year Flexible working hours Possibility of part-time work Family-friendly working
-
to one of the Helmholtz Research Programs (currently ‘Changing Earth – Sustaining our Future’) as part of a particular topic (6, Marine and Polar Life). The cohort work will directly contribute to
-
. Our program focuses on understanding hostpathogen interactions across species (mice, chickens, pigs, dogs) using well-established viral (e.g., Marek's disease virus, Theiler virus, Hepatitis E
-
programming languages such as R or Python Experience with multiome data analysis (e.g. methylomics, Lipidomics, Proteomics, ATAC-seq) Proven experience with advanced computational methods such as deep and
-
. Strong quantitative skills (e.g., econometrics, optimization, I/O table, CGE, simulation modeling) and solid programming experience (e.g., Python/R/Matlab/C). Preferred (optional): familiarity with machine
-
datasets Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer The successful candidates will
-
research program focused on developing next‑generation multimodal imaging systems spanning the mesoscopic to microscopic scale. As part of a major research project and supported by extensive national and