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electrochemical devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry, condensed-matter physics, and materials science. Our research
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electrochemical devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry, condensed-matter physics, and materials science. Our research
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electrochemical devices, by employing advanced experimental and theoretical methods in an interdisciplinary approach bridging synthetic chemistry, condensed-matter physics, and materials science. Our research
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tasks within the DFG project. Requirements: university degree (M.Sc. or equivalent) in chemistry, polymer chemistry, material sciences, or similar; basic understanding of physical chemistry
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to the success of the whole institution. At the Faculty of Physics,Institute of Applied Physics, the Chair ofExperimental Physics / Photophysics (Prof. Dr. phil. habil. Lukas M. Eng) offers within the DFG Research
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materials science, physics, chemistry, electrical engineering (or a similar discipline) with focus on sensorics; experience in data processing and machine learning; experience in 2D materials synthesis and
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psychology, response-time paradigms, process-tracking techniques (mouse-tracking, eye-tracking), and incentive-based behavioral paradigms and experience in (learning) multiple approaches is considered a plus
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equivalent) in in biology, biotechnology, medicine, molecular medicine, chemistry, computer science, data science, engineering, mathematics, physics or a related field, is required. You should hold or expect
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-)chemistry, physics, or related fields. Critical thinking, attention to detail and the ability to work independently are crucial for success. Previous experience with AI-based tools and bioinformatics is
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biochemistry, biology, genetics, physics, mathematics or related disciplines (to be completed within the next 3 months if not already) Experience in bioinformatics (R/Python, optimally also pipeline tools