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Field
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, SOPs and training materials, as well as scientific publications and third-party funding applications Requirements: PhD degree in bioinformatics, computational biology, systems biology, biostatistics
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least a “good” grade in a field of engineering, computer science, economics, mathematics, or natural sciences. The required degree must be obtained by the start date at the latest Interest in scientific
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: Students of North American Studies with a focus on Politics, or Political Science with a focus on North America or similar subjects, advanced in the bachelor’s program (e.g. completed orientation course
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experimental results What you contribute Enrollment in a full-time degree program at a German university, preferably in the fields of physics, engineering physics, optics, photonics, or quantum communication
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well as computer science and mathematics for around 250 years. Approximately 80 professors, 3,000 students and 1,100 employees enjoy short distances, a personal atmosphere and the varied landscape in the middle of a UNESCO
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academic record with a degree in Computer Science, Mathematics, or a related field, specializing in Machine Learning, particularly Natural Language Processing (NLP). Strong knowledge of machine learning and
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, mechanical engineering, applied mathematics, or computer science Initial practical experience with phase transitions (temperature- or pressure-dependent) or similar phenomena Programming skills, ideally in
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experimentation and documentation of results What you contribute You are studying Computational Mechanics, Simulation Sciences, Mechanical Engineering or a comparable subject Initial experience in CAE modelling and
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Biology, or a related computational life-science field. Experience with Python, NGS data analysis and bioinformatics workflows Familiarity with Linux, Git/GitLab, and command-line tools Structured and
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treatment of brain tumors Apply molecular and cellular biology techniques Conduct and analyze rodent-based experimental models Perform and support transcriptomics analyses (single-cell and spatial) Perform