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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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process, the role of ISOs passing through molecular clouds, taking part in molecular cloud collapse and disc formation. Your tasks in detail: Perform scientific work on the research topic, in collaboration
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campus for natural and life sciences in Germany, bridging engineering sciences, computational sciences, and life sciences. Heidelberg University invites applications for the following full-time postdoc
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, for example, the natural and engineering sciences or medicine Strong interdisciplinary exchange with the applied sciences, e.g., for model validation or the identification of relevant extensions Mathematical
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technology Strong mathematical education, in particular in relation to linear algebra Strong programming experience Ability to effectively communicate in written and spoken English Ability to work autonomously
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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12.05.2025, Wissenschaftliches Personal PostDoc- und Promotionsstellen in der Theorie der Quantensimulation Dauer: 2 - 3 Jahre (PostDoc) & 3 - 4 Jahre (Promotion) Ort: School of Natural
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wellbeing. They will use modeling approaches to combine natural and social science data. You will focus on developing and implementing mixed modeling approaches to test pathways through which structure
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professionals. The overarching goal is to gain a deeper understanding of natural developmental trajectories and to develop effective short-term interventions, which are evaluated in collaboration with
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of empirical research (quantitative or experimental) methods, • knowledge of statistics, programming languages (e.g., Python), natural language processing, machine learning is advantageous but not