40 programming-"https:"-"FEMTO-ST"-"UCL"-"https:"-"https:"-"https:"-"Inserm" positions in France
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protocols to evaluate cognitive function in mice. Present results at lab meetings. Requirements: Currently enrolled in a Master’s program in Immunology, Neuroscience, or a related field. Hands-on experience
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partnerships, services) and optimize the use of resources. Assess the current organisation of the Technology Department and adapt it to the ambitions of the strategic plan. The Technology Director reports
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opportunity for an outstanding scientist to establish an independent research program at the interface of biology and computer sciences, in one of the five major DYNABIO-affiliated institutes (C3M, iBV, IPMC
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Proficiency in numerical methods and programming Prior knowledges to Rydberg‑atom experiments, RF field sensing, or related quantum‑sensor technologies will be advantageous We offer: An internship in the heart
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-private partnerships, services) and optimize the use of resources. Assess the current organisation of the Technology Department and adapt it to the ambitions of the strategic plan. The Technology Director
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Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical skills Knowledge of programming, either
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, knowledge of III-V technologies is a plus. • Familiar with RF design tools (ADS, Cadence) and programming platform (Matlab, python…) • Pro-active attitude, good communication, documentation, presentation
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restriction, fasting and fasting mimicking diets to implement in a clinical setting Plan and conduct experiments in the context of clinical research such as gathering and processing of patient derived material
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projected new Master's programme and to teach within the doctoral and lifelong learning programmes of the university For further information about the role, please contact: Prof. Dr. Boris Traue, Director of
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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