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role in our everyday behaviour. Having a belief seem true involves cognitive phenomenology; experientially taking a belief to be true when we first acquire it and if we later entertain it in thought
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
they can be used in the h-matrice library as well as in any other software library; to know for each algo its range of effectiveness, in terms of input data (size), target machine (CPU, GPU), precision
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water. Clearly identified scientific objectives motivate and guide the design and development of space mission by CESBIO and monitoring tools. Missions: - Data processing, apply and tune deep-learning
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related field is required. Previous experience in psychophysics and experimental psychology is desirable. Strong computer skills are essential, and proficiency in programming (e.g. Python or MATLAB) is an
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ÉCOLE DE L'AIR ET DE L'ESPACE | Salon de Provence, Provence Alpes Cote d Azur | France | 3 months ago
l’économie industrielle appliqué à l’étude des technologies de la 4e Révolution Industrielle (i.e., Intelligence Artificielle, fabrication additive, machine quantique etc.) et de leurs impacts sur la dynamique
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-world applications and labour market needs Support the development of pedagogical content for MOOCs, workshops, and blended learning formats Participate in hackathons, workshops, and AI public engagement
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-quality training and learning materials, and a sustainable plan. FSTM's main tasks are to contribute to the definition of the body of knowledge and competencies, assist in developing the skill tree used as
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, reinforcement learning, temporal logic, automata learning, etc. More specifically, we will explore reinforcement learning techniques to develop black-box testing algorithms for timed automata. We will explore
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- Resolution of the numerical instabilities identified by modifying the algorithms using a combination of computer/mathematical/physical solutions - Repetition of the sequence Identification/resolution
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Deep Learning-type methods. The focus will be on geodesic methods, the search for paths of minimum length according to an adapted metric, imposing for example a penalization of the curvature. In addition