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) → Faculty of Engineering and Architecture → Department: EA18 - Industriële Systemen en Productontwerp → Occupancy rate:70% → Number of positions: 1 → Type of employment: Contract of limited duration
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
ground. Ad-hoc choices for model noise can fundamentally disrupt the corresponding fluid dynamics models, leading to unrealistic properties. Rigorously justified methodologies for deriving stochastic
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, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific
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. Currently, conservative assessments of seismicity (i.e., predicting higher seismicity than likely to occur) are one reason for projects not passing the exploration stage, and seismic activity related to gas
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://www.toyota-ti.ac.jp/Lab/kde/en/ [Work content and job description] You will engage in research on foundational technologies for pre-training, distillation, acceleration, and improvement, aiming
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, Materials Science, Electrical Engineering or Physics. Experience and knowledge in one or more of the following areas are considered as merits: Research background in thin-film device fabrication (i.e
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. Completion of your doctoral degree within the last three years is considered an advantage. If there are special reasons, your degree may have been completed earlier. What do we offer? A creative and inspiring
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, that approves the rules for post-doctoral work contracts, designed to stimulate employment in science and technology in all areas of knowledge (RJEC) within the legal provisions of the Labour Code, Law no.7/2009
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, Electrical Engineering or Physics. Experience and knowledge in one or more of the following areas are considered as merits: Research background in thin-film device fabrication (i.e. electrochromic devices
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an international, interdisciplinary consortium delivering a Horizon Europe project focused on accelerating the uptake of knowledge-to-action tools that support the prevention and reduction of pollution