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, visit: https://sites.google.com/view/tommaso-giovannini The ideal PhD candidate has: a solid background in theoretical/computational condensed-matter physics or chemistry (MSc in Physics, Chemistry
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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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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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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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on the training program can be found at https://theoceanfloor.de/en/The-Ocean-Floor/ECR-support.html . Ocean Floor Fellows will have the opportunity to contribute to the tailored training program of the Cluster. It
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about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Physics group develops and
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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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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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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