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rare-earth ions, with improved quality for optical, magneto-optical and laser applications. Different growth methods will be used such as Czochralski, Bridgman and Flux methods. Numerical modelling will
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Sciences, Biobased Sciences, or have a related background (PhD degree is a plus); you have hands-on experience with molecular cloning, protein purification and biochemistry laboratory techniques; proactive
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, aligned to different users’ values, must coordinate, negotiate, and resolve conflicts, and designing and testing methods for aligning individual AI agents to user values in ways that reflect how humans
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successful in this position, you will ideally bring the following: For the Networking and AI position: Completed a PhD in Computer Science, Electrical & Computer Engineering, or a closely related field Expert
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Fellowships Training in joining dissimilar materials using the Friction Stir Welding process and experience in numerical simulations using Finite Elements; to hold a PhD degree obtained in the 3 years
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and graduate students Minimum Acceptable Education & Experience: PhD degree in Civil Engineering, Geography, or related fields Required Knowledge, Skills & Abilities: Proficient in geospatial data
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, electrodes, and ionomer membranes with high time resolution, operando x-ray measurements. Develop electrode architecture and catalyst/electrode modification strategies for enhanced durability, using different
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other post-doctoral researchers. The project will also provide a specific budget for a laptop and for travels to workshops and other meetings. REQUIREMENTS: A PhD in an environmental, economic, or related
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objectives and proposals for funding. The Person Knowledge, Skills and Experience Research Assistant PhD in human geography, sociology, public health, or a related discipline. Demonstrable experience
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
at the Centre Inria de l'Université de Lille in the Scool team. He or she will be in contact with experts of sequential decision making. The candidate will study different research questions related