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parameters Development of learning rules considering the strong non-linearities of the neurons Identify suitable application task in the field of geolocation and optimize network and learning rules accordingly
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science. The program complements the MICROSTAR initiative, forming the HUMAN–MICROSTAR Alliance — a unified framework bridging host- and microbe-focused infection biology. More details: https
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framework bridging host- and microbe-focused infection biology. More details: https://www.helmholtz-hzi.de/en/research/research-program/human-microstar/
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. Correlated experimental, ab initio and multi-scale techniques are central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and
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Expertise in software development with Python, database and search engine technologies, machine learning frameworks, semantic web technologies, Docker Desired: expertise in working with scholarly data
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(RCB), the research focus “Ribonucleases” (https://go.ur.de/rna-biologie ) and the Regensburg Center of Ultrafast Nanoscopy (RUN) also provides a wide range of opportunities for collaboration. Active
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to scientific coordination within the project. Your tasks will include: Further development and integration of quantitative approaches for analyzing crowd dynamics Scientific support and, where applicable, co
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(see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en ) knowledge in EcoDesign, climate sciences and life-cycle assessments project management knowledge of the host
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University of Jena - Cluster of Excellence "Balance of the Microverse" | Jena, Th ringen | Germany | 3 months ago
individualized career development programs, and events on topics like diversity and collaboration Remuneration based on the provisions of the Collective Agreement for the Public Sector of the Federal States (TV-L
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neuroscience is essential Experience with modelling, analysis of complex dynamical systems, simulation, analysis of large-scale datasets with machine learning methods, and software development are beneficial