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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological
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Centre, the Neutron-SimLab or various physicochemical characterization methods and workshops. The opportunity to help shape a new department. Access to the infrastructure of the Institute
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robotic approaches to assist with uncovering novel disease biology, with an initial emphasis on gastrointestinal organoids in collaboration with the Boutros group, while retaining flexibility to extend
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on the data recorded in the team, you will develop and test machine learning algorithms for perovskite tandem solar cells' energy yield and degradation Data cleaning and preparation Assisting integration
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: Analysis and Geometry Appl Deadline: 2025/07/13 11:59PM (posted 2025/06/06, listed until 2025/08/25) Position Description: Apply Position Description In the Faculty of Faculty of Computer Science
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 8 hours ago
is important, we support you with parent-child offices, family services and daycare co-operations Health promotion – through our extensive range of company health programmes, in cooperation with
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signaling and metabolism in a truly translational context to help patients? Apply, join and succeed in our team in the pursuit of improved understanding of heart failure with preserved ejection fraction
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direction of research family-friendly, flexible working time models, part-time option, remote work, additional days off on December 24 and 31 corporate health management and sports activities through egym
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brings together methodologists (from areas like statistics, computer science or formal demography) with population scientists in order to foster cross-pollination of ideas, to advance methods and theories
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is connected to the vibrant local ecosystem for data science, machine learning and computational biology in Heidelberg (including ELLIS Life Heidelberg and the AI Health Innovation Cluster ). Your