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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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on estimated movements using eDCCs. The research will focus on data simulated using the Monte Carlo method and real data from clinical SPECT scanners with a parallel collimator, such as those available at LUMEN
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, CNRS) located on the St-Charles campus in Marseilles. Working days are normally from Monday to Friday, but work outside those working days might be possible. Dedicated material : Desk, computer
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will estimate the Seebeck coefficient, the electrical conductivity, and the thermal conductivity, and assess how changes in molecular structure, packing, and doping influence these properties. Key tasks
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taxonomically (https://ecotaxa.obs-vlfr.fr/ ) or store and distribute data on the abundance of marine snow particles. The team has a long experience of interactions with engineers and computer scientists, in
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Processing Skills required: - Medical computer programming: python, 3D slicer, LCmodel (optional), FSL, spm, ants) - Artificial Intelligence skills and deep learning experience - Proficiency in Tensorflow