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advanced data-driven methods and have the autonomy to set your own scientific emphasis. As team member of the ERC Starting Grant “MesoClou”, you will work with PhD students and a fellow postdoc and be
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to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage
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, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
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, or similar disciplines Graduate students expecting to receive their PhD within six months can also apply Experience in the advanced analysis of genetic or proteomic data Interest in learning methods
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to environmental changes in the ocean and what effects this has on ecosystems and biogeochemical cycles, particularly the uptake and storage of carbon dioxide in the sea. Methods used include the analysis
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methods and ideas PhD in Physics, meteorology or a related subject Experience with running and evaluating models English skills that allow one to communicate in an international working environment, and to
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biomedical sciences. What You Can Expect: We offer a diverse and stimulating range of tasks in the field of big data analysis, where you will develop and apply advanced computational methods to analyze complex
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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Prevedel group can be found here: www.prevedel.embl.de Your role • Design of mechanical, optical as well as electronic and software components of novel, custom-built wavefront shaping microscopes to image in
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internationally leading in systemic phenotypic analysis of genetic and environmental factors. A particular focus is on the development of databases and the application of modern bioinformatics methods to gain new