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Field
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Optimization (DPO) and reinforcement learning from human feedback, building preference datasets together with clinicians - Build and run a Red Team process with physicians, computer scientists, and patient
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a PhD student who would like to optimize the use of real-world data (RWD
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to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and
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intelligent systems aim to optimize power usage without compromising performance, employing strategies like power-aware computing and thermal-aware optimization. These systems are crucial in extending
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renewable energy in a dense and usable form. However, the thermodynamic and kinetic barriers associated with CO₂ reduction require the development of high-performance and selective catalysts. The selected
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; - Dexterity and independence in laboratory work; - Advanced knowledge of English (written and spoken); - at least one scientific article published or accepted for publication in ISI-indexed journals, as lead
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19th April 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Hard Rock Geothermal Drilling and AI-Driven Drilling Optimization - IV-21/26
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possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions
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the BENEFIT project, funded by the French National Research Agency (ANR), to work on active flow control and machine learning. 1- CONTEXT -------------------- Active flow control aims to modify velocity fields
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this project, you will investigate the optimal conditions and underlying mechanisms of Imagery Rescripting, a treatment aimed at alleviating distressing memories. You will begin by examining how