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Field
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for classifying user activity in office buildings using power consumption data, with a focus on probabilistic approaches such as Gaussian Processes that provide principled uncertainty quantification
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Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics (https://www.aalto.fi/en/department-of-electrical-engineering
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validation methods based on data thinning, exploiting the probabilistic stability properties of these models. This will make it possible to compare the predictive performance and robustness of competing models
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? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0272.pdf CALL FOR APPLICATIONS: RESEARCHER Job/position/grant: Job reference: AE2026-0272 (CPES-Geral-CPES
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to work
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. In this way, flood impacts can also be described probabilistically and later added to the model of Pillar 1; Translating the current scenario sets into future climate states (using climate scenario as
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Laboratory Supervisor. Experience with probabilistic genotyping software and complex mixture interpretation. Experience with forensic investigative genetic genealogy (FIGG) technologies and kinship analysis
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are seeking a PhD candidate to join our young team (Computational Systems Medicine) within the context of the BMFTR-funded DIASyM (https://diasym.mscoresys.de/ ) project, to develop new statistical and
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with structures. Required competence is good programming skills in MatLab and Python, and preferably with knowledge about probabilistic analysis and statistics. Your immediate leader is Head of
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Quantum Information – Lx Work Objectives: The successful candidate will contribute to the ERC LESYNCH project. The aim of the work is to apply probabilistic methods and pseudo-random techniques to obtain