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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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from other peers through a dedicated mentorship program. Technical queries should be directed to Robert Lasarzik (robert.lasarzik@wias-berlin.de ). The working hours are 39 hours per week and the
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following areas: Mathematical Analysis/ Numerical Analysis/ Theoretical Machine Learning Please note: Applications from candidates with degrees in other disciplines (e.g., Computer Science, Engineering) will
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instruction in the Bachelor's program is German or English. The teaching obligation is based on the respective valid state ordinance on teaching obligations at universities (LVVO) of the state of Schleswig
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are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests
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computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics and/or biological high-throughput
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an extensive range of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and
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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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psychometrics Computer- and web-based psychological assessment of cognitive abilities Advanced meta-analytic research methods for educational research You are pursuing your research independently and in
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, Biophysics or a related field), and current enrollment in a Master's program Practical experience with basic molecular biology techniques (e.g., pipetting, buffer preparation, sterile work); prior experience