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clinical trials in allogeneic hematopoietic stem cell transplantation and CAR-T cell therapy. Through close integration of laboratory and clinical research, we aim to translate mechanistic discoveries
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, imaging). • Solid foundations in signal processing and statistics. • Experience with machine learning for regression (e.g., tree-based methods, neural networks) • Hands-on experimental skills: ability and
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 13 days ago
Ability to work independently Strong problem-solving skills, including openness to learning new tools, software, and methods Excellent verbal and written communication skills in English; proficiency in
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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Prof. Dr. Diana Panke Schwendenerstraße 8 14195 Berlin (Dahlem) With an electronic application, you acknowledge that FU Berlin saves and processes your data. FU Berlin cannot guarantee the security
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 9 days ago
work with ultra-high-field (7T) or laminar imaging is a strong plus Experience with MTL/hippocampal subfield anatomy and segmentation, or willingness to learn these pipelines quickly Strong
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, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100
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neuroimaging studies aimed at testing the EESR theory of learning-related plastic brain changes. Key responsibilities include designing neuroimaging studies of motor skill learning, overviewing empirical
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Hamburg, ESRF in Grenoble and others) analysis of the experimental data, ideally connecting to our machine learning tools presentation of scientific results on conferences and in publications supervision