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://www.jobs.tu-berlin.de/en/job-postings/206476 . Keywords: Machine Learning stochastic dynamics SPDE Application Instructions For further information please visit https://www.jobs.tu-berlin.de/en/job
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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
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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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/or PhD in Computer Science, Bioinformatics, Computational Biology, Data Science, or a closely related field Strong experience in machine learning and/or deep learning, ideally with sequence models (e.g
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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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focuses primarily on geometric analysis, spectral geometry, and differential geometry on singular spaces, preferably with connections to Finsler geometry, discrete geometry, or machine learning. Your
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Helmholtz Association of German Research Centres | Geesthacht, Schleswig-Holstein | Germany | 2 months ago
existing methods (e.g. XGBoost, Gaussian Processes) - you will publish your work and contribute to open-source releases Your profile - PhD in Machine Learning, Computer Science, Physics, Environmental
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opens the door to many new experiments. Through the ErUM-Data and LEAPS-funded proposals, we develop resource-efficient and reliable Al and machine learning methods to advance ML for photon science
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-term research stays at CERN. About you: PhD in experimental particle physics, completed or nearing completion. Demonstrated experience with machine-learning methods in high-energy physics, ideally
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software involving machine learning to predict the occurrences of protein interaction sites (so called short linear motifs) in disordered protein regions and determine how they are created or modified