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, advanced high-parameter flow-cytometry, as well as murine models and human organoid technology to investigate mechanisms of longevity of immunological T and B cell memory. A strong interest in quantitative
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-parameter flow-cytometry, as well as murine models and human organoid technology to investigate mechanisms of longevity of immunological T and B cell memory. A strong interest in quantitative disciplines
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ideas, research, and career in a stimulating, welcoming and multicultural environment; A thorough introduction process and ongoing support by peers; Salary and social benefits are provided according
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, and career in a stimulating, welcoming and multicultural environment; A thorough introduction process and ongoing support by peers; Salary and social benefits are provided according to Swiss standards
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of students Your profile University Master's degree in process engineering, chemical engineering, mechanical engineering or materials science with some (CFD) experience. Good technical knowledge and/or high
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activities (including teaching assistance and co-supervision of student projects) Profile A master's degree in engineering, environmental sciences, or physics. Strong interest in experimental fluid mechanics
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well as external academic and industry partners. Your profile You are a highly motivated and talented candidate with a Master’s degree in Engineering, Control, Computer Science, Physics, Applied Mathematics, or a
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qualified candidate holding a Master’s degree in Engineering, Energy Systems, Applied Mathematics, Operations Research, Physics, or a related field. You bring a strong analytical background and experience
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with project partners and disseminate results through reports, visualisations, and scientific publications Your profile You hold an M.Sc. in Data Science, Computer Science, Engineering, Physics
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in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV