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staff position within a Research Infrastructure? No Offer Description Junior Researcher Human-AI Collaboration for the Exploration of Large Unstructured Data (f/m/d) 20 working hours | Research Within
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of Technology , we conduct advanced research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish
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We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in Artificial Intelligence. College / Directorate College
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation
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personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme. Academic staff contribute
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30 Jan 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Urban Engineering Research Field Engineering » Electrical engineering Researcher Profile Recognised
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 10 days ago
function in the Safety and Surveillance group. Within a week of working here, your day could look like this: help shape the UK Government’s premier data-driven research service. You will participate in and
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Posting Title Researcher II/III: EMT Modeling, Simulation and Analysis for Large-Scale Power Systems . Location CO - Golden . Position Type Regular . Hours Per Week 40 . Working at NREL The National
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relevant to the PhD project The ability to analyse and interpret large economic datasets The grade point average for relevant courses Experience with large datasets, administrative data, or advanced