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, an exciting project at the intersection of design computation, AI, and robotic fabrication. The position is expected to start in August 2025, or as mutually agreed. The position is located at the Professorship
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, Cottbus and Dresden. Applied research focuses on technology developments in the areas of wafer level system integration and interconnection technologies at board, module and package level. Application
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with PhD in physics, chemistry, materials science, chemical engineering, computer science or a related discipline Extensive knowledge of X-ray science Profound experience in data analysis, machine
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or completed bachelor's degree in technical chemistry Initial experience in the operation of technical test facilities Knowledge of Python is desirable Teamplayer and good communication skills
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at the University of Bonn, a W2 Professorship for Clinical Data Science in Neuroradiology with Specialisms in Epilepsy and Data-Processing Law is to be filled at the earliest opportunity. The focus
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to the table Student in the field of Computer Science, Electrical Engineering, Physics, Mathematics or another related degree program with a scientific or engineering focus Knowledge of Python/Jax/C++ Knowledge
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qualifications profile Enrollment in a bachelor's or master's degree program, preferably in sociology or another social science program Interest in the topics of social inequality and the life course Very good
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State programme promoting young researchers (Tenure-Track Programme). The professorship is affiliated with the department of Medical Systems Biology (https://www.med.uni-wuerzburg.de/en/systemimmunologie
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on these considerations, solutions will be developed and implemented to create an advanced testing platform for the comprehensive evaluation of the long-term stability of invasive brain-computer interfaces. Your task will
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an earlier stage of their career. Submissions should include A cover letter outlining your interest in the program, why you consider yourself a good fit for the Institute and its research, and details