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interdisciplinary team combines expertise in computer science, electrical engineering, psychology, and neuroscience to create innovative solutions for understanding human-computer interaction. Become a part of our
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the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry
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to coating processes and thin film analytics. This is an excellent opportunity for a student pursuing a degree in Computer Science, Engineering, or a related field to gain practical experience in software
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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 22 hours ago
Dresden University of Technology Course location Dresden In cooperation with Dresden University of Technology Teaching language English Languages The programme is conducted in English. Full-time / part-time
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History 75 years Max Planck Society Max Planck Society Kaiser Wilhelm Society Researching and processing the past Max Planck - Revolutionary against his will Women Science Pioneers Conflict Management
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, Institute of Scientific Computing, within the Dresden Center for Computational Materials Science (DCMS
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, Marine Chemistry, Biological Oceanography, Marine Geosciences, and Marine Observations works interdisciplinary within a joint research program. What will be your tasks? The successful candidate will work
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-regulatory network changes. The project is part of the HEROES-AYA consortium of the German Decade against Cancer, a collaboration between multiple sites in Germany, and the Computational Biology lab of Anna
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scenarios for tool wear detection and measurement What you bring to the table You are studying production engineering, mechanical engineering, or a comparable subject Initial programming (python) and Machine
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sequencing, RNA sequencing, mouse models, iPSC-derived organoids, and functional genomics approaches. The lab has strong collaboration partner in computational biology and bioinformatics, and the candidate