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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
with setting up a streamflow forecasting system in Portugal and the advancement of scientific knowledge in machine learning probabilistic hydrological forecasting and decision-making optimized to act on
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Inria, the French national research institute for the digital sciences | Toulouse, Midi Pyrenees | France | 19 days ago
involve either curving straight faced meshes, or the use of some optimization or variational approach. An important aspect is the ability of combining the above techniques with metric based mesh adaptation
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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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optimization of synthetic pathways; experience with spectroscopic techniques is highly desirable, as well as proficiency in interpreting structure–activity relationships, assessing reaction mechanisms, and
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decisions between UAV–USV agents, using principles from game theory and multi-agent systems, to optimize cooperation and dynamic task allocation. Signal processing and control algorithm implementation
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Faculty of Medicine in order to optimize the conditions for preclinical and clinical translational research, research strategies and development, as well as education on both undergraduate and postgraduate
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of stochastic processes and/or optimization. Candidates should have experience with programming of scientific software. Excellent proficiency in English is required, as well as good communication skills, both
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions
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, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor function in interaction with graphene
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at DTU within the BUG-ID network (DCs 2, 3, 12, 13): DC2: Infection biomarker discovery in chronic wound models DC3: Infection biomarker monitoring in environmental samples DC12: Optimizing bioreceptor