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structure refinement. Experience working at large-scale research facilities is required. You have strong data analysis skills and experience handling complex experimental datasets. Preferred qualifications A
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dealing with the large number of plankton types and with unresolved ecological processes especially around mortality. Modern, GPU based, modelling infrastructures provide promise towards running models
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communication skills, and can work both independently and as an effective member of a large research team. The candidate will be expected to initiate new research proposals for both intramural and extramural
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scans. The Oxford team, in partnership with 5 hospitals sites, has curated a large fetal echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans. You will be
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energy sector, aimed at publication in top-level journals. More up-to-date information about the Chair group is available at www.ep.mgt.tum.de/pur/ Tasks The successful candidate is expected to actively
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description. The applicant must have excellent professional proficiency in English (written and spoken). Required: Strong knowledge of how to use AI and large language models (LLMs) for data extraction
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16 Apr 2026 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Environmental science Researcher Profile Established Researcher (R3) Application Deadline 10
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of AI and Data Science : Machine and deep learning, NLP, BDI (Belief-desire-intention) systems, and Large Language Models (LLMs). Expertise in design and very good programming skills (Python, Pytorch
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17 Apr 2026 Job Information Organisation/Company University College Cork Department HR Research Research Field Medical sciences » Other Researcher Profile Established Researcher (R3) Positions
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the field of covariant cosmography. About the School The School of Physical and Chemical Sciences (SPCS) at Queen Mary University of London is a large, multidisciplinary and research-intensive school within