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Your Job This position sits at the interface between electron microscopy and machine learning. We are looking for a microscopist or physicist with substantial computational practice who wants to
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Postdoctoral Researcher - Machine Learning for Plant Regulatory Genomics Plants adapt to their environment through genetic variation, but linking that variation to its ecological role across species
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address could not be found. Postdoctoral Researcher in Applied Mathematics Control, Dynamical Systems and Machine Learning ERC Advanced Grant CoDeFeL Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU
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TU Berlin seeks candidates for a PostDoc position in the field of stochastic analysis, in particular, stochastic PDEs, mathematics of machine learning, and stochastic dynamics. Our offer * PostDoc
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integration of machine learning into quantum chemical methods and molecular simulation. A particular focus will be on the development, application, and evaluation of modern machine-learning methods
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 25 days ago
Observation, Educational Technology, Efficient AI, Explainable AI, Haptics, Human-Computer Interaction, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics
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quality, and health. We seek a PhD or Postdoc to work on either of the two topics: Autonomous reaction discovery: combining quantum chemistry, machine learning, and automation to chart oxidation pathways
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<span lang="en">TUD Dresden University of Technology</span> | Dresden, Sachsen | Germany | 10 days ago
domains are e.g. signal-/image processing and machine learning.
Tasks:
- modeling and simulation of near-memory computing architectures for RISC-V processors using
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | 2 months ago
), including uncertainty estimates. You will work on extending neural processes to large-scale, multimodal geospatial data, a setting that remains largely unexplored in current machine learning
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at the intersection of statistical genetics, systems biology, and machine learning, with strong emphasis on methodological development.
Tasks of the PhD Student
- Develop