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» Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 15 Sep 2026 - 00:00 (Pacific/Saipan) Country Germany Type of Contract Temporary Job Status Full-time
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. HARPNET’s scientific programme is integrated across three scientific work packages, where data, technologies and biological models will be shared across projects through joint supervision, network activities
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Programme? Not funded by a EU programme Reference Number DR/130/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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Click to read more about the Dublin Innovation Institute (DII): https://dublininstitute.northeastern.edu/about/ Term: 10 months, full time Reports to: Dr. Shashi Murthy, Head of Institute. Prof. Giovanni
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research programme in fundamental AI, AI co-scientists, and applications in complex scientific domains such as RNA sequence-function modelling, structure prediction, and inverse design. Further information
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Engineering » Computer engineering Mathematics » Computational mathematics Mathematics » Applied mathematics Mathematics » Statistics Mathematics » Probability theory Physics » Biophysics Researcher Profile
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Summary Represent the department and be a role model for incoming graduate students. Development Leaders will report to their academic department's Graduate Coordinator, Graduate Secretary, and to
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of construction sites and information management Mathematical models for infrastructure impact and infrastructure economics Eligibility: PhD obtained between 1 January 2019 and 31 December 2024 (date of thesis
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to its state-of-the-art infrastructure. With an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research