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develop large-scale, AI-driven approaches to integrate app collected digital health, lifestyle and nutrition data with structured food and nutrition databases as well as local cancer incidence data
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focus is on: Machine-learning accelerated materials simulations ML-accelerated simulation of ion and charge carrier transport in energy materials Multiscale modeling of transport in materials The
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Diffusion in Advanced Materials Location Material Measurement Laboratory, Materials Science
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Mission For the 1 PhD position starting in 2026 summer (flexible) , we are seeking a candidate with experience in iontronic materials . Examples include stimuli-responsive soft materials
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groups to specific foods, rather than considering individual glycemic responses. This project aims to develop an AI-driven, personalised diabetes management system using a mobile app to rate foods
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international conferences and in scientific journals. The tasks will include laboratory tests, analysis of data, and modeling. Qualifications To be eligible, you must have a master’s degree in materials
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within materials physics. https://liu.se/en/organisation/liu/ifm/tunnf The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the
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modeling. Qualifications To be eligible, you must have a master’s degree in materials science or chemistry. You should have basic knowledge of building materials, and you should be fluent in English
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Home > JOBS Ultrafast Magnetism in Frustrated Materials [ All offers ] 2026-07-24 | PhD Lab/Company : HFML-FELIX Location : Nijmegen, Netherlands Yearly income : https://www.nwo-i.nl/en/vacancies/phd
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data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content PhD position in Agentic AI in Computational Modeling