Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- University of Tübingen
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Heidelberg University
- Leibniz
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf
- Constructor University Bremen gGmbH
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Zentrum Hereon
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Johannes Gutenberg University Mainz
- Max Planck Institute for Dynamics and Self-Organization
- 9 more »
- « less
-
Field
-
from over 7,000 cases treated in molecular tumor boards. Develop and implement bioinformatics pipelines to identify biomarkers and therapeutic targets. Collaborate with clinicians and researchers
-
multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
-
23.02.2026 Application deadline : 30.04.2026 The Autonomous Systems Lab at the University of Tübingen is searching for a Postdoctoral Researcher in machine learning (m/f/d, E13 TV-L, 100%) limited
-
. Collaborate with a dynamic, interdisciplinary team that combines science, sustainability, and technology to create a better future. Help shape the next generation of sustainable materials inspired by nature’s
-
driving publication-quality research outputs, including survey papers, methodology papers, and cross-domain transfer studies. Interdisciplinary collaboration is strongly encouraged, especially
-
Reference number: 2026-0013 The Division of Computational and Molecular Prevention of the DKFZ, in collaboration with the Translational Molecular Imaging in Oncologic Therapy Monitoring Unit, invites
-
Stratification and its Moral Foundations across Countries. Your tasks: Carry out high-quality research toward the goals of the project, in an independent and collaborative manner Engage independently in data
-
Profile: A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science Proven Track Record in Machine Learning, Molecular Simulations, Chemoinformatics
-
biophysics, computational biology, mathematics in the life sciences, computer science and machine learning with application to biological systems, and related areas. What we provide The CSBD provides fully
-
within a stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, life-long learning