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significantly influence the lifetime impacts of HV maritime battery systems, and how can system design be optimized to reduce these impacts? What you contribute Currently enrolled in a master's program in
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industrial and economic perspective. What you contribute Academic university degree in computer science, engineering or natural sciences including a PhD or equivalent qualification Experience in research
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automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable
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available in the further tabs (e.g. “Application requirements”). Programme Description The Deutschlandstipendium supports new or advanced students of excellent academic and professional promise. A wide net is
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On-going master studies in Data Science, Database Systems and Information Management, Computer Science, Physics or Applied Mathematics Knowledge of signal processing, Data analysis and Data handling Interest
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Neuropmorphic Computing business unit, focuses on technologies for metallization in the BEOL (back end of line) of CMOS manufacturing and the border area to advanced packaging. The core theme of the group is the
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detection and precision prevention in the role of a division head at the DKFZ. The program is expected to build on prostate cancer as a model disease with later expansion to other common tumor entities, e.g
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state-of-the-art computational and high-throughput experimental validation methods in functional, de novo protein design. Over the next two years, the team will jointly develop computational methods
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comparative and historical perspective combining data-driven computational approaches with informed institutional analyses of capitalism, insurance finance, housing and welfare states while drawing on theories
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interdisciplinary research consortia, and it hosts the International Max Planck Research School Physics from Light to Life (IMPRS-PLL) as a dedicated graduate program, which trains the next generation of scientists