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households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data
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sources, optical metrology, microscopy, and wavebased information processing. This project is part of the CHAIN consortium. CHAIN (Coherent Algorith-based Imaging of Nanostructures) brings together experts
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Have you completed your PhD? Are you eager
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PhD Position on Predictive Plant–Microbiome–Pathogen Interactions Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 1 October 2026
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will work with Rita Pucci (computer scientist) and Luna van der Loos (seaweed biologist and taxonomist). You will also be part of our PhD and postdoc community — a close-knit group of around 50 PhD
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fundamental learning procedures to tackle distressing images related to aversive memories. The aim is to generate insights with direct impact on clinical practice and patient wellbeing. PhD Candidate Reducing
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://www.academictransfer.com/en/jobs/363733/phd-candidate-multimodal-and-ag… Requirements Specific Requirements Profile We welcome candidates with an MSc or equivalent expertise in artificial intelligence, medicine, computer or
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technology be designed and evaluated so that it is usable, acceptable and aligned with users’ communication preferences and everyday lives? Your role Your PhD will primarily focus on computer vision and
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requirements and priorities. Strong skills in data analysis, image processing, and programming (e.g., Python/C++). Demonstrated experience in publishing scientific journal papers. Fluent in English (oral and
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; Proven competence on flow measurement techniques and PIV; Familiarity with optics, lasers, image processing and statistical data analysis Familiarity with flow modelling techniques (CFD) or machine