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Field
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experience with design and manufacturing; research experience in ergonomics; hands on experience with robotic hardware and tool usage in a field environment; proficient in design software using solidworks, 3-D
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10.08.2021, Academic staff Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification - PhD student in
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testing, lifecycle assessment, durability modeling, student mentorship, relevant software/tools, and development of industry guidance. This is a full-time, one-year appointment, renewable based
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., fluorescence and confocal microscopy), as well as organoid-based disease modeling is an advantage. An interest for software-based analysis and ev. R-programming is welcome. We welcome applicants who are detail
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standard and custom software to prepare for publication Record, organize, and present laboratory data at lab meetings and conferences, and draft high-quality manuscripts and grant proposals Demonstrate
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software to analyze and present data. Supervise other personnel in the laboratory to coordinate research efforts for increased efficiency. Participate in the training of fellows, residents, students, and
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proficient in software development (e.g., using Java, Python, C++), with object-oriented programming and software engineering practices. You will have hands-on experience in designing, building, modifying
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or similar software is an advantage. Salary and Rank Special Instructions For Best Consideration Date 05/15/2026 Expected Start Date 06/01/2026 Posting Number IU-101539-2026
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new topics while playing nice in a team. Your main task will be the development, conceptualization, and eventual implementation of new design automation methods and software for your field, e.g
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elements in nonlinear analysis software (preferred Atena); • Documented experience in other software for nonlinear analysis of structures; the ability to use a programming environment (e.g., Python) will