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(m/f/d) in Bioinformatics. Project overview This position offers an exciting opportunity to develop machine learning methods that reveal how biological function is encoded across different kinds
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research fellow (f/d/m) to participate in the development of and quality control for control and housekeeping electronics as part of the project BECCAL. Depending on the background and research interests
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, data-driven experimentation in colloid science. The successful candidate will contribute to the development of self-driving laboratory capabilities integrating robotics, high-throughput experimentation
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to cutting-edge research on collaborative learning, multimodal learning analytics, and artificial intelligence. The position offers substantial opportunities to develop an independent research agenda within
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. student (f/d/m) to further develop and improve the Gravimetric Atom-Interferometer (GAIN) for participation in the joint national and international projects. GAIN is a mobile quantum sensor using laser
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/m) to further develop and improve the Gravimetric Atom-Interferometer (GAIN) in the joint project ATOMAQUA. ATOMAQUA is a new BMFTR funded joint endeavor bringing together academic institutions and
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–Nano Interfaces at the earliest possible date. The position offers the opportunity to develop and apply advanced methodologies for investigating interactions at bio–nano interfaces, with particular
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postdoctoral fellow (f/d/m) to participate in the development of and quality control for a complex laser system as part of the project BECCAL. BECCAL is a large joint endeavor by NASA and DLR (Deutsches Zentrum
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for a research fellow / Ph.D. student (f/d/m) to participate in the development and integration of a complex laser system as part of the project BECCAL and to implement a local test-setup for experiments
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applicant will hold a Ph.D. in computer science, machine learning, bioinformatics, or related fields. The applicant should have a strong interest and prior experience in developing machine learning methods