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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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, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with
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parameters using experimental muscle and neural recordings Explore motor control policies that replicate observed behaviours Test simulation predictions against muscle ablation experiments Investigate how
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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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, 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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of projects focused on sexual and reproductive health across the lifespan. The lab’s work includes a randomized controlled trial in Tanzania, national cross-sectional surveys, and multiple dyadic and
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University of California, Los Angeles | Los Angeles, California | United States | about 17 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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OF THE PROJECT “within the scope of the DFence project – Dynamic Virtual Fences - Remote control and monitoring of free-range grazing, through a non-intrusive animal guidance system (NORTE2030-FEDER-01474400), co
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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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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