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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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development, software design, parallel computing, model building, computational chemistry, biomolecular structures. Techniques: GPU computing, image segmentation, molecular dynamics, scanning probe microscopy
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neural differentiation paradigms, patient specific iPSCs, (epi-)-genomic approaches (single cell omics, massively parallel reporter assays) and genome and epigenome editing as well as computational
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parallel seagrass projects What do we expect from you? You have a researcher personality, and your desire to understand our environment is driven by scientific curiosity. Applicants must have a university
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Postdoc (f/m/d) Research Data Management and Data Visualization / Completed university studies (P...
programming skills in Pyhon, Julia or similar and past contributions to research software projects; more programming languages or parallel programming skills are a plus # Good English language skills in a
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | 3 months ago
Demonstrated excellent programming skills in C++ and FORTRAN and editing source codes written in these languages Familiarity with computational techniques of high performance massive parallel computing in Linux
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electrophysiological recordings and electrical microstimulation. In addition, the postdoc will have the opportunity to cooperate with other lab members on parallel computational investigations using artificial neural
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to understand why some individuals progress to MCI and AD while others do not. Additionally, you may explore predictive biomarkers for atypical neuropsychological presentations of AD. In parallel, you will study