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of more than 6 billion euros, the Helmholtz Association is Germany’s largest scientific organization. The name Helmholtz stands for concerted research, in which networks form the key principle behind inquiring
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Area of research: Scientific / postdoctoral posts Job description: Postdoc positions in Computational Health (f/m/x) 102675 Full time 39 hrs./week Neuherberg near Munich Partial Home Office possible
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, preferably in Python, Fortran, Matlab or R #experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory #capability to work in a team but able to formulate and carry out
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System (W-0046 | all genders) with the freedom to develop and pursue your own research program within a broad scope. As a successful candidate, you will become an integral part of the Multiscale Cloud
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research project at a challenging frontier of science Friendly and intellectually stimulating work environment Opportunity to shape your independent research profile Opportunity to extend your network
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challenging frontier of science Friendly and intellectually stimulating work environment Opportunity to shape your independent research profile Opportunity to extend your network, locally and through generous
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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
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field Strong publication record and experience in basic science or translational research Background in molecular oncology, tumor biology, liver-focused or immune-focused research, or computational
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
using first-principles simulations software (density functional theory and related codes) # Automated Workflows:Utilize automated workflows on high-performance computing systems for efficient data
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extensive expertise in electrophysiology to join international research team "Astrocyte-Neuron Networks" lead by Prof. Dr. Cristina García Cáceres at the Institute for Diabetes and Obesity (IDO