38 phd-in-architecture-landscape-built-environment Postdoctoral positions in Switzerland
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complex prediction, as well as the Protein Universe Atlas, an interactive web resource for exploring the vast landscape of publicly available protein sequence and structure data. We also organise community
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modelling and/or empirical analysis. The research will ideally combine insights from economics and e.g. computer science. Profile Applicants should hold a PhD in Economics with a strong economic basis and
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or semester interns. Your profile PhD in Materials Science, Mechanical Engineering, Manufacturing Technology or similar fields Experienced in CFD and FEM simulations using tools such as OpenFOAM (preferably
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qualifications with a PhD in physics, electrical engineering, materials science or a related subject, and a background in magnetic thin films, nanostructures and spintronics. You should be motivated, proactive and
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expected to collaborate closely with the research supervisor and the ODI team members, and assist in mentoring Master’s or Bachelor’s thesis projects. Profile We are seeking candidates with: A PhD degree in
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vivo relevant models for antimicrobial assessment to demonstrate the efficacy of the developed coatings under conditions closely simulating in vivo environment The work aims to advance the fundamental
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good communication skills and the ability to work well in an interdisciplinary and international environment. Fluency in spoken and written English is a prerequisite.
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technological innovation. Your profile Applicants have a PhD in English, American Literature, or related fields, and a number of publications. Please submit a proposal for your own four-year research subproject
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mission is to become a world-class computer science and artificial intelligence research institution. In just two years, INSAIT has already attracted outstanding international faculty, postdocs, and PhD
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analytics projects Mentor graduate students and supervise research activities Required Qualifications PhD in Computer Science, Data Science, or related fields Strong background in blockchain data collection