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) combine their expertise to fully develop, that is including sub-systems design and optimization, a versatile reversible sCO2 Brayton cycle targeted to harvest industrial waste heat. In this project, LMFA
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thesis after a total of four years of employment. About the position The selected candidates will begin by studying doctoral courses, and during this time, develop their own ideas for research and thesis
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Prof Jon Heffernan Application Deadline: Applications accepted all year round Details The EPSRC National Epitaxy Facility has a funded PhD studentship available for research and development in AI
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mechanisms and selectivities. The advertised position will be involved in the development of new catalysis concepts in the area of non-covalent interactions and particular halogen bonding. Furthermore, the
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 2 months ago
systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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the 3-year PhD project. NEXTSTEP will train 36 young and enthusiastic researchers to exploit the unique and transversal capabilities of analytical research infrastructures in tackling the challenges
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-funded Research Training Group ReMPro, further fostering scientific collaborations and career development. Specific Requirements a completed academic university degree in a relevant field (e.g
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
Infrastructure? No Offer Description The aim of this PhD is to model the development of microstructures during welding processes on thick parts, in the context of nuclear equipment, for which deposits of several
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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extract far more information from EM measurements than ever before, creating new opportunities for fast, reliable, and quantitative non-destructive evaluation (NDE). This PhD is focused on developing