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Field
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, or texturisation methods. Working knowledge of process optimisation tools (e.g. RSM) and familiarity with data‑driven or AI‑assisted modelling approaches is an advantage. Experience in pilot‑scale processing, scale
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 2 months ago
Education: http://www.dges.gov.pt ); - Motivation Letter; - Declaration of honour of the candidate regarding the benefited Research Fellowships, issued as defined in the attached model (ANNEX II), to assess
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immunology, oncology, or a related field. Strong interest in immunology. Strong skills in conducting independent in-vivo studies, and knowledge of managing strains for independent projects, including
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of Artificial Intelligence tools (e.g., Scopus, Elicit) III. Solid knowledge in Maturity Models for Omnichannel Approaches in healthcare IV. Solid knowledge in the persona paradigm in the area of
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Social Neuroscience lab (https://www.msn-lab.com) led by Prof. Matthew Apps. The lab studies the cognitive, computational and neurobiological basis of motivation and decision-making in healthy young adults
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, knowledge mobilisation specialists and academic colleagues you will provide the quantitative data that supports service improvement and better outcomes for people using services. This project sits within a
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assimilation system is a good advantage. Prior knowledge and experience in satellite observation, pre-processing, quality control, error modelling and correction are an advantage. Good programming experience is
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Full-time (1.0 FTE), fixed term contract until 30 June 2027 Salary Range: $102,024 to $109,307 per annum (plus 17% Superannuation) Contribute to the development of dynamic risk and optimisation models
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the job funded through 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 UiB - Knowledge
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fine-tuned Vision-Language Models (VLMs) for game scenario detection, supporting zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking