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PhD in Chemical Engineering or a closely related discipline; Demonstrated experience with mathematical modelling and simulation; experience with modelling electrochemical systems is considered
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experimental PhDs and Canon Production Printing to enable data-driven ink optimization. Why Join? Work in the multidisciplinary Processing and Performance of Materials group Work at the forefront of sustainable
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across diverse populations with type 1 and type 2 diabetes. The group brings together enthusiastic and motivated clinical and basic scientists, PhD students, postdoctoral researchers, data analysts and
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activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Read more: https://wise-materials.org The employment This employment is a
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Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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approach and to lead publications and conference presentations from the pilot data. MINIMUM QUALIFICATIONS PhD in education, sociology, psychology, measurement/assessment, public policy, or a related field
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a Research Infrastructure? No Offer Description Postdoc position in RNA Technologies Flagship – Foundation Models for RNA Regulatory Networks: from RNA-RNA Interactions to RNA-DNA Genome Regulation
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. Qualifications All required qualifications must be clearly documented in the application materials. Required Qualifications: • PhD in Electrical Engineering or a closely related field. • At least four years of
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the ELLIS network of excellence in AI. You will be embedded in a vibrant, international team of PhD students and postdoctoral researchers, with access to substantial GPU compute, real robots and rich