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Description of the offer : The main objective of this PhD thesis is to unravel the microscopic mechanisms by which the hydrogen affects the properties of intermetallic magnets. To achieve this goal
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contribute to the development of the Institute’s academic programs, mainly aimed at master's students, but also for bachelor's degrees, on-the-job training and MOOCs. The applicant will participate in
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skills : We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date and
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! Education Master's degree (Bac+5) in telecommunications, computer science, or a related field, with an interest in AI, cognitive networks, or connected vehicles. Experience and skills Prior experience with
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information about the position please contact: Prof. Denis SCUTO Your profile Master's degree in Digital History, Data Science, Historical Migration Studies, Digital Humanities, or a related discipline Proven
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Organizing meetings and workshops to promote awareness and advocacy Your profile Master's degree (or soon-to-obtain) in Psychology, Cognitive Science, or Education A track record of interest in technology
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research and soft robotics development. PhD project The PhD project will focus on the technical aspects of simulating the physics of the Drosophila larva body. The primary objectives include: Developing a
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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
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role within an entity/unit of excellence. …AND THAT’S NOT ALL ! You may also be interested in other things in addition to your main role: A cutting-edge research ecosystem, dedicated to issues of major
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zero net magnetization. The objective is to understand the interplay between magnetic and structural degrees of freedom gives that give rise to this novel phase, and to explore how the properties can be