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behaviour using computational approaches such as Bayesian program synthesis and inverse reinforcement learning. Investigate the diversity of motor commands that could implement observed behaviours and explore
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to target the mechanistic alterations at the basis of resistance to current therapeutic options. The research program will favor translational approach and the experimental design will benefit from
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datasets [10, 11]. It will also be tested on the autonomous vehicles of the ACENTAURI team. 3 Work Plan The work of this postdoc includes: - Studying the state-of-the-art of LiDAR-camera fusion and VLM
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areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our workforce Diverse
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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic
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; Participate in lab meetings and scientific discussions. Key Skills, Experience & Qualifications Education & Experience: Enrolled in a Master’s programme (M2) in biology, immunology, oncology, or a closely
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Master's degree in Epidemiology, Public Health or a related field. Applicants should be enrolled in a Master program and the internship should be a mandatory part of the diploma; Experience in working
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, a computational approach with the generation of realistic models of the auditory system allows us to make theoretical predictions and verify our experimental results. The engineer will be responsible
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early stage of their education. Research: The candidate will be responsible for developing his/her own research program and contribute to the Nursing Education Research Programs (NERP) in collaboration
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opportunities Engage actively in the doctoral program For further information, please contact Prof. Stephanie Kreis: Your profile A Master's degree in a relevant field Experience with wet-lab techniques and