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Field
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our pilot cases Development of building simulation models supporting energy and indoor climate optimization Analysis of building performance data for occupancy detection and predictive modelling
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with short-term travel within France and, if necessary, abroad (Europe). Post-doctoral contract eligible only for PhDs awarded less than 3 years ago. Full title: Post-Doctorate - PICASSOL - optimizing
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close
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models to estimate, validate, and optimize the energy consumption of SQL queries for both research and industry use. The project involves partners including Aalborg University (AAU), Roskilde University
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, with a focus on arboviral diseases (e.g., dengue or Oropouche viruses). Other projects include improving risk assessment, optimizing surveillance system design, and developing and evaluating mitigation
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forefront of hydrogen technologies and their integration to the energy systems. The successful candidate will hold a PhD degree (or close to completion) in Mechanical/Electrical Engineering or related subject
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. Minimum Qualifications PhD in Communication, Psychology, or related field conferred within the last five years. Excellent oral and written communication skills. Preferred Qualifications Physical Demands
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are looking for a curious and driven postdoctoral researcher to join a project focused on improving how we study and optimize medical treatments. The work centers on advancing a vessel-on-a-chip platform—a
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, biologists, and data scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and
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mining. Qualifications PhD (awarded or imminent) in Industrial Engineering, Operations Research, Mining Engineering, or a related discipline. Strong track record of publications in simulation, optimization