Sort by
Refine Your Search
-
Listed
-
Employer
- Forschungszentrum Jülich
- Technical University of Munich
- Leibniz
- Hannover Medical School •
- Ludwig-Maximilians-Universität München •
- Nature Careers
- University of Göttingen •
- Brandenburg University of Technology Cottbus-Senftenberg •
- Helmholtz-Zentrum Hereon
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Technische Universität Berlin •
- University of Münster •
- Academic Europe
- DAAD
- Deutsches Elektronen-Synchrotron DESY •
- European Magnetism Association EMA
- GFZ Helmholtz-Zentrum für Geoforschung
- Helmholtz Zentrum Hereon
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Umweltforschung
- Hertie School •
- Max Planck Institute for Biological Intelligence •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Study of Societies •
- RPTU University Kaiserslautern-Landau •
- Saarland University •
- University of Hamburg •
- University of Konstanz
- University of Potsdam •
- University of Würzburg
- cellumation GmbH
- 23 more »
- « less
-
Field
-
experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image data analysis A willingness to engage in interdisciplinary scientific work
-
to defining specifications and requirements for the FDI system • Development and evaluation of model-based and machine learning-based FDI algorithms, in close exchange with relevant stakeholders • Close
-
learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with, enhance
-
. or Diploma in bioinformatics or a comparable qualification Extensive programming experience Practical experience in machine learning and the application of large language models Knowledge of OMICS and image
-
remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance computing, and synchrotron-radiation
-
samples, phase retrieval in this regime remains challenging, limiting multiscale imaging approaches in near-field holotomography. To address this, the PhD project combines machine learning, high-performance
-
modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial Good organisational skills and ability
-
thesis is not pre-defined and should be defined by the candidate over the course of the first year. The domain of the PhD thesis must be machine learning and either control theory, path planning, or multi
-
At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13 TV-L, part
-
- When and where do we reach the limits of adaptation to riverine flood risk?”. You have experience in machine learning, programming and flood risk research. If so, we encourage you to apply! You will