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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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experimental platforms for real-world quantum computing applications. Candidate Profile We are looking for interested candidates who have: - PhD in Computer Science, Software Engineering, or a related field
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. Interested, qualified candidates can submit their cover letter, CV, and supporting documents to: https://unmc.peopleadmin.com/postings/96054 Required Qualifications PhD in cancer biology, molecular/cellular
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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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The successful candidate will have an outstanding academic track record and a strategic vision to develop an ambitious and innovative research program. The ideal profile is that of a researcher able to propose
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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Full-time Offer Starting Date 31 Aug 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure
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Wetsus - European centre of excellence for sustainable water technology | Netherlands | about 1 month ago
Engineering » Process engineering Engineering » Water resources engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 6 Apr 2026 - 15:00 (Europe/Amsterdam
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automation, programming, scripting languages such as Python, and algorithm development. You will have extensive experience of software development / PhD in Computing or in Chemistry with a strong computing
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Skills/Qualifications The PhD candidate should ideally have a background in engineering sciences, material sciences or physical chemistry. A culture in computer science, numerical simulations and data