336 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" PhD positions in Germany
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- Max Planck Institute of Biochemistry, Martinsried
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- RPTU University of Kaiserslautern-Landau •
- TRON – Translational Oncology at the University Medical Center of the Johannes Gutenberg University Mainz •
- Technical University of Darmstadt •
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- The Max Planck Institute for Neurobiology of Behavior – caesar •
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susceptible steel structures. Thus, the candidate will develop reliable machine learning-based surrogate models to replace expensive phase field models to simulate failure because of HE. The activities will be
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involve a numerical simulation component. Your tasks analyzing measurements of ocean turbulence using autonomous glider vehicles use and develop machine learning methods to describe ocean turbulent fluxes
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Cavity Quantum Cascade Lasers (EC-QCLs) regarding the requirements of different measurement techniques to be developed in PROTEMIC. During the second stage at INSUCAPS, the EC-QCL will be applied to study
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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its rich information content, conventional analysis methods have not yet fully realized its potential. This research project aims to develop a robust AI foundation model based on modern Transformer
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complementary methodologies (corpus data and offline experimental measures). On the theoretical side, the project will develop a formal compositional model that generates the observed parameters of variation and
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(Lightfoot) groups. Using a comparative approach, we aim to understand how evolution has adapted existing behaviors and invented novel ones through alterations of the underlying neuronal circuits. Based on our
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | about 1 month ago
Information Flow (Scholz) and Genetics of Behavior (Lightfoot) groups. Using a comparative approach, we aim to understand how evolution has adapted existing behaviors and invented novel ones through alterations
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. Background and position description The research group is heavily involved in the development of the Flora Incognita app for automated plant identification, which has been downloaded over 10 million times by
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to mastering the great challenges facing society today. We are looking for a PhD Student (f/m/d) In-situ detection of airborne pathogens to further develop a real-time in-air pathogen surveillance solution