168 algorithm-development-"Multiple"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University" positions at Leibniz
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HORIZON-CL6-2024-CLIMATE-01. RIVIERADE aims to develop and implement a pre-operational and replicable multi-model framework and protocols to produce, downscale, assess and deliver state-of-the-art decadal
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immunotherapy, transplant rejection and autoimmunity. The objective of the LIT is to develop innovative and efficient cellular immune therapeutics in these areas. Our own GMP laboratories and close networking
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able to work autonomously and in a team. We offer you: A working environment with a wide range of personal and professional development opportunities. The opportunity to work in a world-class research
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With its work, the Leibniz Institute of Vegetable and Ornamental Crops (IGZ) contributes to a better understanding of plant systems and thus to the development of sustainable and resilient
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Association with an international reputation and globally networked research infrastructure. It is active in three closely interlinked fields: collection-based research, collection development and cataloguing
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research infrastructure is the basis for all business processes, science and research. Constantly changing IT technologies have to be managed and further developed. There are many opportunities for you to
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IDEFIX (Ice Droplet splintEring on FreezIng eXperiment) experimental setup will be further developed and laboratory experiments will be carried out, analyzed and interpreted. The aim of this research
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Höchstfrequenztechnik (FBH). The application process is conducted jointly with the FBH as part of the Berlin Model. Reference Number Thz-Prof2025 Tasks Development of broadband integrated millimeter and submillimeter
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and energy systems into a comprehensive bio-based circular economy. We develop and integrate techniques, processes and management strategies, effectively converging technologies to intelligently
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural