Sort by
Refine Your Search
-
Listed
-
Employer
- Leibniz
- Nature Careers
- Technical University of Munich
- Forschungszentrum Jülich
- Heidelberg University
- University of Tübingen
- Free University of Berlin
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Chemical Physics of Solids, Dresden
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- ; Max Planck Society
- ; Technical University of Denmark
- DAAD
- European Magnetism Association EMA
- Fraunhofer-Gesellschaft
- Fritz Haber Institute of the Max Planck Society, Berlin
- Heinrich Heine University Düsseldorf
- Leibniz University Hannover
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Physics, Garching
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- Max Planck Institute for Social Law and Social Policy, Munich
- Max Planck Institute for the Study of Crime, Security and Law, Freiburg
- Max Planck Institute of Biochemistry, Martinsried
- Max Planck Institute of Biophysics, Frankfurt am Main
- Technische Universität München
- University of Paderborn
- 21 more »
- « less
-
Field
-
completed PhD in (bio)informatics or (neuro)immunology A completed Master’s degree in biology, biomedicine, bioinformatics, or data science Basic knowledge in cell culture, immunology, and molecular biology
-
mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
-
collaborate closely with a dedicated team of soil fauna experts, ecological data modelers, computer-vision system engineers. Your Tasks Establish data science pipelines, data-modelling strategies, model
-
of a project with limited experimental data points? In addition, how would you combine various computational chemistry methods that can leverage data to enhance potency predictions? With your solution
-
Immunology and Computational Biology Reference number: 2025-0105 We are deploying advanced in vitro and in vivo model systems, genetic perturbations and single cell technologies with spatial readouts to study
-
Your Job: The research will be part of the recent ERC Starting Grant "Atomic Scale Quantum Sensing and Information with Molecular Nanostructures on a Scanning Probe Tip" (ERC-2024-StG, QuSINT). Our
-
PhD Student / Postdoctoral Researcher (gn*) Molecular Biology Reference Number: 10836 Fixed term of 3 years | Full- or Part-Time (65% or 100%) | Salary Grade TV-L E13 | Centre of Reproductive
-
an attractive drug target. The position is funded by an Emmy Noether DFG grant and aims to combine single-molecule localization methods and cell biology to decipher the stoichiometry and dynamics of plexin
-
in chemistry, physics, materials science, chemical engineering or a related subject Desirable: • Experience in one (or more) of the following areas is beneficial: metal-organic frameworks; adsorption
-
of these patients. The goal of this project is to combine cutting-edge multi-omics technology, data analytics, machine learning and clinical samples from the human eye to decipher new insights into disease mechanisms