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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence
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Researcher will work in Professor Benjamin Peherstorfer’s group (https://cims.nyu.edu/~pehersto/ ) on scientific machine learning at the Courant Institute of Mathematical Sciences where they will help
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interdisciplinary team of biologists and engineers to leverage in vitro organ-on-a-chip (Organ Chip) microfluidic culture systems and injectable formulations to study and model adaptive immunity in female
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numerical calculations of stationary and unsteady flows, including modeling of cavitation in flow. • Ability to organise, analyse, conduct and verify the model hydraulic turbines investigations
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Applications are invited for a Postdoctoral Research Associate in transportation data science and statistical modelling, based in the Centre for Transport Engineering and Modelling (CTEM
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. Work that develops rehabilitation models for aging-related conditions and that reframes how we help people live well, not just live longer, is of particular interest. The successful candidate will build
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. Thibaut Hirschler Objectives Develop and validate multi-physics models describing actuation and mechanical response of 4D-printed structures. Develop and implement advanced numerical methods based on sciML
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Eligibility criteria The candidate must have a strong background in materials physics, atomistic simulation, or numerical modeling. Experience in molecular dynamics and handling force fields is required
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sponsorship. Responsibilities: Performing high level experimental, theoretical, and numerical research and data analysis (45%) Presentation publication, and proposal preparation (30%) Mentoring PhD and MSME
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sponsorship. Responsibilities: Performing high level experimental, theoretical, and numerical research and data analysis (50%) Presentation publication, and proposal preparation (25%) Mentoring PhD and MSME