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collaborators. Tasks include formulating optimisation problems, developing algorithms for optimisation with Bayesian models, and implementing solutions in relevant software. Further tasks include the formulation
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, estudio de sistemas ADCS y desarrollo de algoritmia de control de actitud, soporte a ensayos en ADCS test bench/ Mission and orbital analysis, ADCS systems studies, attitude control algorithms, support to
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start dates strongly preferred Duration: Initial appointment is for 1 year, with extensions (up to a total of 3 years) contingent upon performance Salary range: $80,000-$100,000 Apply here: https
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22 Feb 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de l'ENS Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 8 days ago
the replicator equation. The candidate(s) may also be required to develop computational and algorithmic platforms to link models to biological data. The project integrates dynamical systems, graph theory, linear
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methodologies in brain diseases. The candidate will work on developing advanced new algorithms, testing and validation, and applications in these data modalities. The candidate will have the opportunity to work
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of hardware and control algorithms for real-world applications. The Electrical Power Group is expanding rapidly with ambitious plans. We work closely with leading industry partners across multiple sectors and
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subjects, including Programming, Algorithms, Computer Logic and Architecture, Web and Mobile Development, Human-Computer Interaction (HCI), Green and Sustainable Software Engineering, Software Engineering
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research program aims to develop new sensing algorithms integrated
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include: Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines. Build reproducible research pipelines and maintain reliable