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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
qualification equivalent to a Master’s degree in Chemistry, Mathematics or Computer Science by the start of the PhD; A curious mind-set and strong background in quantum crystallography and its underlying
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learning, or human-computer interaction would be advantageous. How to apply We are seeking expressions of interest from qualified domestic candidates who wish to apply for this PhD opportunity. This position
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methods including single-cell omics, iPSC-derived neural models and computational modelling. What We Offer A 4-year, fully funded PhD position (FPI grant) An on-site position at IDIBELL/UB, working within a
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-admission About the PhD position: Organized research training (PhD program): The candidate must take part in the University of Bergen approved PhD programme leading to the degree within a time limit of 3
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privacy, adversarial robustness, distributed systems, or LLM fine-tuning. How to apply Applications should be submitted via the Computer Science PhD programme page. In place of a research proposal, you
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description You will be expected to carry out wet-lab 3D genomics experiments and analyze data in the context
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funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Dimas group, at BSRC Alexander
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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17 Sep 2026 Job Information Organisation/Company Copenhagen Business School Department Department of Accounting Research Field Economics Researcher Profile First Stage Researcher (R1) Positions PhD
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Application deadline: All year round Research theme: Minewater geothermal How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded; students who are eligible to pay tuition