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will explore if learning and memory paradigms trigger the recruitment of RNAs to specific synaptic compartments. Second, the student will study the cellular machineries involved in local RNA recruitment
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published openly in the form of process flowsheet databases. Skills: Machine Learning/Deep Learning skills are essential, as well as programming proficiency, as well as some knowledge of energy or process
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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. The institute offers a multidisciplinary environment that bridges fundamental discoveries with applied preclinical research. In partnership with IMATHERA (Preclinical Imaging and Radiotherapy Platform
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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computational research. In particular: • A high-quality imaging platform • A dedicated biocomputing hub that guarantees reliable data storage, management, and advanced analytical capacity. Our laboratory is
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member. An office at CERAPS and a computer will be provided. The cost of commuting to and from job office can be covered in accordance with the rules in force at Lille University (75% of the urban
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Sadron Institute. The team works on themes related to the process-structure-property correlations of pi-conjugated materials for applications in organic electronics. The SYCOMMOR team has particular
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using the KM3NeT detectors • Data analysis from SVOM instruments as well as images from the COLIBRI telescope • Participation in KM3NeT shifts and service tasks (calibration, construction, processing), as
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an internationally recognized research team at LAAS-CNRS in Toulouse, focused on developing autonomous mobile machines that integrate perception, reasoning, learning, action, and reaction capabilities