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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 14 hours ago
contribute to the design, development, and experimental validation of novel graybox tunneling algorithms for multi-objective combinatorial optimization, with a particular focus on their parallelization and
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his collaborators on observational studies of exoplanets and/or sub-stellar objects. Candidates with expertise and interests in ground-based high-resolution exoplanet spectroscopy and/or imaging and
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that turns experimental plans from the Bayesian optimization engine into coordinated instrument actions, tracks their execution, and returns structured results and status. Define the interfaces (APIs, message
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/instruction tuning methods. * Understanding of Reinforcement Learning (RL) principles, multi-objective optimization, or active learning/Bayesian optimization. * Strong programming capabilities in Python
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Applications to the Runway Startup Postdoc Program open on October 15 and close on February 15. Recently completed your PhD and want to harness your deep tech expertise to start a company? Want to
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
for multiple-object tracking," IEEE TPAMI, 2022. 4. L. Vaquero, Y. Xu, X. Alameda-Pineda, V. M. Brea, and M. Mucientes, "Lost and found: Overcoming detector failures in online multi-object tracking," ECCV, 2024
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interpret analytical methods and findings, and manage day-to-day project activities, deliverables and timelines to ensure successful delivery of the programme’s objectives. We are looking for an experienced
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, or sonar sampling of the benthos ● statistical fluency (e.g., mixed effects models, Bayesian statistics) applied to noisy field biomonitoring data or long-term ecological datasets ● experience operating and
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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tasks require high-frequency evaluations of forward models, in order to quantify the uncertainties of rock and fluid properties in the subsurface formations. Therefore, the objectives of this research