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Field
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, computer science or engineering PhD in one of the above fields Proven knowledge and programming experience in at least one high-level language language (including Python) Experience in building web applications
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experimental planning, bioinformatic consulting, and in-depth data interpretation, where applicable Your qualifications Master’s degree or PhD in Bioinformatics, Computer Science, Applied Statistics, or a
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in Bioinformatics, Computational Biology, Biostatistics, Data Sciences or related discipline. Alternatively, PhD in Molecular Biology, Immunology, Biomedicine or related discipline with extensive
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extension, in the programme area "Next-Generation Horticultural Systems" (HORTSYS), in the research group "Open Field Horticultural Systems" within the EU-HORIZON project NitroScope - "Scoping European N
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of efficiency, training performance or inference behavior What you bring to the table Enrolled Bachelor's/Master's student in full-time studies in the fields of computer science, mathematics, physics, electrical
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, or biomolecular systems. The research program should connect to the wider Bonn science landscape and should facilitate close collaborations within the Department and the university’s Transdisciplinary Research
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analysis, combinatorics, geometry, information theory, or stochastics. The new professor will be a member of the Faculty of Physics and Astronomy and the Faculty of Mathematics and Computer Science
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environmental sciences, agricultural economics, geography, sustainability science, or similar basic knowledge of statistics and data analysis experience with or willingness to learn agent-based modeling (Python
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spiking neural networks Your Profile: Current master studies in physics, computer science, mathematics, electrical/electronic engineering or a related science or engineering field Strong background in
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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