Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Leibniz
- Nature Careers
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Heidelberg University
- Max Planck Institute for Biogeochemistry, Jena
- University of Tübingen
- Humboldt-Stiftung Foundation
- Ludwig-Maximilians-Universität München •
- University of Göttingen •
- Hannover Medical School •
- Helmholtz-Zentrum Geesthacht
- Max Planck Institute for Demographic Research (MPIDR)
- University of Münster •
- University of Potsdam •
- ;
- Freie Universität Berlin •
- Friedrich Schiller University Jena •
- Helmholtz-Zentrum Dresden-Rossendorf •
- Leipzig University •
- MPINB
- Max Planck Institute for Biogeochemistry •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Neurobiology of Behavior - caesar, Bonn
- Max Planck Institute for Plant Breeding Research •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Structure and Dynamics of Matter •
- Max Planck Institute of Molecular Plant Physiology •
- Technische Universität Berlin •
- Ulm University •
- University of Bremen •
- University of Cologne •
- University of Passau •
- University of Stuttgart •
- WIAS Berlin
- 29 more »
- « less
-
Field
-
Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
-
kinetic modeling Experience with (or willingness to learn) 3D modeling, CAD software, and 3D printing What We Offer: TV-L (E13, 67%) collective agreement ( Current TV-L pay table [pdf-Datei] ) A three-year
-
now. As a result of this success and the dedicated community of plant enthusiasts, millions of plant observations are available, their numbers growing. These observations are useful for modelling
-
to model and analyse the intrinsic complexities of these systems. This research direction requires advancements in modern probabilistic tools, including spatial random graphs, random walks, and Markov chains
-
identify the necessary solutions. The findings should also remain valid under different climate change scenarios. With its global state-of-the-art energy system model, ICE-2 at Forschungszentrum Jülich
-
xenograft (PDX) models. To this end, the candidate will have direct access to cutting-edge mass spectrometry and advanced bioinformatics infrastructure. The project is part of the collaborative research
-
highly motivated doctoral student to join an ambitious project aimed at building machine and deep learning models to study the genetics of human disease. Funded as part of the Helmholtz AI program, the
-
Great interest in pre-clinical in vivo models Ideally initial experience with Bioinformatics experience, especially in R What we offer Goal-oriented, individual training and development opportunities
-
histological validation within murine cancer models. We offer an association with the Collaborative Research Centre 1450 “Insight – Multiscale imaging of organ-specific inflammation” graduate school
-
support the development of a European energy system model by benchmarking future technologies and optimizing their representation within the FINE optimization modelling framework ( https://github.com/FZJ