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, economics, business informatics, data science, or a related field, • with a strong passion for entrepreneurship and/or family enterprise research, • with a solid knowledge of empirical research methods
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17.03.2025, Wissenschaftliches Personal We are searching for 5 Ph.D. students, and 2 Postdocs in Mechanical/NanoMaterials Engineering for an EU project, TV-L E13, full-time Phase change and industrial relevance Phase change such as vaporization, condensation, melting, and solidification is a...
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Germany for more than 12 months in the 36 months immediately before the recruitment date. Nationality: Open to all nationalities. Doctoral Programme Enrolment: You must be willing to enrol in a doctoral
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PostDoc (m/w/d) position on “Biological engineering of novel gene reporters for Electron Microscopy”
the systematic analysis of function-ultrastructure relationships in brains with implications for our understanding of neuropsychiatric diseases and inspiration for neuromorphic computing. Your Ideal Qualifications
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. Candidate´s profile: • Master’s degree in Life Sciences, in Computational Biology or MD degree • Previous research experience in immunology • Experience in flow cytometry, cell culture and in high-dimensional
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to obtain research funding Required Skills & Experience A Ph.D. with excellent academic results in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Physics, or a
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Computational Molecular Medicine, led by Prof Julien Gagneur, develops computational approaches to study the genetic basis of gene regulation and its implication in diseases. Applications of our work range from
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31.07.2023, Wissenschaftliches Personal Within the Joint Academy for Doctoral Studies (JADS) program of Technical University of Munich and Imperial College London, the Professorship of Energy
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02.02.2022, Wissenschaftliches Personal The Faculty of Informatics at the Technical University of Munich intends will fill a position at the earliest as Scientific Researcher (m/f/d) – 100%, TV-L
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good publication track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline