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—specifically Python, C++, or Java. The developer must be able to translate logistical constraints into efficient, scalable code capable of high-speed, real-time decision-making. Integration Support While
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related field. You will bring strong analytical and coding skills, with an interest in developing robust, transparent methods and high‑quality research software. You are comfortable managing your own
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) 13 TV-L FU reference code: ONEMuc-FluBind2 The collaborative project ONEMUC – Respiratory Mucus as a One Health Interface investigates how the composition and structure of mucosal barriers (mucus
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) 13 TV-L FU reference code: ONEMuc_FluBind The collaborative project ONEMUC – Respiratory Mucus as a One Health Interface investigates how the composition and structure of mucosal barriers (mucus
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. You will have evidence of post-qualification research experience, research experience in the analysis of large biomedical or biobank datasets, a proven ability to code and a strong publication record
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commitment to developing an HR Strategy for Researchers, designed to bring the practices and procedures in line with the principles of the European Charter for Researchers and the Code of Conduct
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and ensure reproducibility through well-documented analytical code and workflows. Contribute to peer-reviewed publications, policy reports and dissemination activities that enhance national impact and
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cellular models. Proven track record in coding, including familiarity with data analysis and bioinformatics tools relevant to neurobiological research. Extensive experience supervising postgraduate students
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disseminated across other Michigan Medicine research teams. Scholarly manuscripts, conference presentations, and open-source code/methods. Required Qualifications* Ph.D. in a quantitative or computational field
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transfer, non-equilibrium phenomena in realistically large solid/solid, solid/liquid, solid/gas interfacial systems. Code implementation of spectroscopic modules in electronic structure theory software