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two referees through this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Monday, 13th April 2026. Late applications will not be considered. Further information may be obtained from
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, physics, or data science. They should have strong analytical skills in the context of machine learning and/or numerical mathematics, as well as an excellent command of a programming language, preferably
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The Department of Decision and Control Systems is looking for up to two research engineers
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spatial transcriptomics data from quality control through generation of results under minimal supervision. Develop and publish manuscripts related to using multi-scale data for predicting disease and
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is the radiative cavity surrounding the emitter. This cavity controls how thermal radiation is exchanged between the emitter and the photovoltaic cells, influencing the spatial distribution
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and interpersonal skills, and immediate availability to start the contract. publications that demonstrate results in the aforementioned areas. excellence in the command of the English language, both
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identification, i.e. learning of models from measured data, and iii) real-time control, e.g. using the model predictive approach. We are working on several projects with industrial partners across the energy
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University of California, Los Angeles | Los Angeles, California | United States | about 15 hours ago
mechanics and foundation engineering in light of geologic conditions, recognition, prediction, and control or abatement of subsidence, landslides, earthquakes, and surface/subsurface disposal of liquids and
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processing, quality control, integration, and analysis of single‑cell and multimodal omics datasets (e.g. scRNA‑seq, scATAC‑seq). Train, evaluate, and benchmark deep learning models operating on single‑cell
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project is dedicated to the characterization of causative mutations in patients suffering from auto-inflammation. Our aim is to characterize the structural determinants that control the activation