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in interdisciplinary research at the interface of biology, computational tools, and X-ray methods Experience with experiments at large-scale user facilities (e.g., synchrotrons or neutron sources) and
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webpages for further information: https://www.sheffield.ac.uk/postgraduate/phd/scholarships Loans are available to eligible home fee-paying doctoral students studying postgraduate research courses: https
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-based materials/devices, bioelectronic microsystems, unconventional computing, liquid crystals and nanomaterials for applications such as thermal management, neural interfaces, energy harvesting and
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the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Candidates without a master’s degree have until 31.08.2026 to complete the final exam. The purpose of the fellowship is
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Les micro- et nanoplastiques (MNP) sont des polluants émergents omniprésents
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | about 1 month ago
for the transitions between different conformational states of biomolecules, forming complexes among them or with small ligands like drugs. The project is at the interface between physics, computational science and
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UiO/Anders Lien 19th April 2026 Languages English English English PhD Research Fellowship in Pharmacoepidemiology Apply for this job See advertisement About the position We invite applications for a
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science » Autonomic computing Engineering » Maritime engineering Technology » Computer technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 25 Apr 2026 - 23:59 (Europe
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Les maladies cérébro-cardiovasculaires (MCCV) représentent un enjeu majeur
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for