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of biomarkers associated with cardiomyopathy and cytokine release syndrome which are transferred to the photonic sensors. Your tasks will include: Designing and optimizing immunoassays, such as ELISA
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project in close collaboration with industrial partners, research institutions, and an interdisciplinary team Design, develop, and optimize a modular, containerized plant for green ammonia synthesis
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University professorship (m/f/d) in 'AI in Occupational, Social and Preventive Medicine' (salary gra
implementation of AI algorithms and tools for analyzing and predicting health-related events, process optimization and decision support in healthcare. Validation of models to ensure accuracy and reliability
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focused on syntheses of bioactive compounds of natural and non-natural origin, lead optimization, conjugation, e.g. to peptides or dyes for targeting and ADME studies, and on the completion of scientific
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solutions that optimally promote their abilities. The same applies if they do not meet all profile requirements due to a disability. Interested? Then we look forward to receiving your application and getting
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-supported circuit design! Around the world, intensive efforts are underway to improve the use of artificial intelligence. Optimizing the basic hardware components required for the enormous computing power
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DWI Leibniz-Institut für Interaktive Materialien e.V. | Aachen, Nordrhein Westfalen | Germany | 23 days ago
understand the data generation process and optimally integrate it into model development. Close collaboration with an interdisciplinary team from materials science, computer science, biology, and business
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solutions, integrating AWS with on-premise compute and storage resources Design and optimize data storage solutions using AWS S3 and integrate on-premise S3-compatible storage options Ensure compliance with
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optimization, differential equations, generative/flow models and constraint solvers A strong understanding in foundations of robot learning, including reinforcement learning, behavior cloning, sim2real A firm
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hypotheses and suggestions for optimally switching molecular systems. This may be supported by (machine-learning) molecular dynamics methods. Hamburg is a vibrant city in the north of Germany, with a long