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rheological analyses of the biofilms and mathematical modelling, with the potential to reveal fundamental principles of biofilm resilience. Job description Experimentally investigate nonlinear rheology and
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. Profile Applicants must hold a M.Sc. Diploma (120 ECTS points) or equivalent in civil, mechanical or electrical engineering, geosciences, physics, applied mathematics, computer sciences or related fields
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-funded project on AI-assisted programming interfaces. The research explores new ways to support computational thinking and mathematical reasoning through alternative representations of code, such as prose
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engineering Strong background in computational science, applied mathematics, or computational biology Ideally, familiarity with numerical methods for PDEs (e.g., finite difference, finite element) HPC
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Publication list Contact details of two refereesPlease send your application to [nicola.serra+sinergia@uzh.ch]. Further information about [Department of Mathematical Modeling and Machine Learning or Department
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across all departments and look at AI from many different angles like mathematical principles, medicine, architecture, robotics, and social sciences / future of work. We enable research of high quality
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many different angles like mathematical principles, medicine, architecture, robotics, and social sciences / future of work. We enable research of high quality, industry innovation, and AI
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of astrophysical and/or space-science data processing. The successful candidate will hold an MSc or greater degree in computer science or engineering, or a PhD in applied mathematics, physics, or related fields
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university degree (Bachelor’s or Master’s) in a relevant field; degrees in technical fields (computer science, mathematics, physics, engineering etc.) are a plus Fluency in English and German; French is a plus
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detailed information on our website at dhangleiter.eu . Profile We strongly encourage you to submit an application if you have an academic background in computer science, mathematics, or physics, if you are