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program. Requirements Very good master's degree in computer science, data science, mathematics or a related discipline; relevant research experience (e.g., master's thesis) in the field of NLP/ML/text
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development plans, mentoring programs, and support from experienced specialists Open, team-oriented work atmosphere in an international environment 30 days of annual leave Company pension plan (VBL) Flexible
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genomics will be used to address questions relating to evolutionary relationships and biomineralization in Annelida. This position is funded through the Leibniz Collaborative Excellence Programme, with
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development plans, mentoring programs, and support from experienced specialists Open, team-oriented work atmosphere in an international environment 30 days of annual leave Company pension plan (VBL) Flexible
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the following: A background in experimental neuroscience, animal behavior, or cognitive psychology Experience with data analysis, programming (e.g., Python, MATLAB, R), and statistical methods
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physics, particularly optoelectronics Hands-on experience in optical spectroscopy Good programming skills, ideally in Python Ability to collaborate and coordinate work within a team of scientists
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conferences Individual development plans, mentoring programs, and support from experienced specialists Open, team-oriented work atmosphere in an international environment 30 days of annual leave Company pension
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semiconductors. You should have experience working in a laboratory environment, along with basic programming and data analysis skills (Python, MATLAB, LabVIEW). High motivation, very good English or German skills
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programming, preferably Python and R, is required. Experience with mass spectrometry data, in particular metabolomics, and geometric machine learning is a plus. In addition to above-average interest in
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well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX