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, -- mathematical theory for artificial intelligence, -- optimization and numerical computation over manifold, -- systems and control theory, -- algebraic computation theory and cryptography. The position is for two
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and technicians to solve analytical challenges and develop, optimize, validate and apply analytical methods to evaluate food safety. Key Responsibilities - Perform trace-level analysis of organic
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at temperatures of 50 mK-350 K and at fields of up to 15 T with emphasis on the development of new sensing protocols optimized for high-field and low temperature environments. In addition, these sensors will be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
domains. You will play a key role in shaping infrastructure that enables expressive querying (e.g., via the Model Context Protocol) and optimize integrated data for downstream AI/ML applications such as
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data integration from multiple omics platforms will be considered a plus. The candidate will be expected to independently design and execute experiments, develop or optimize immunological and molecular
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tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
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Organoid model culturing Mouse model optimization and validation You will report to the Professor Bent Deleuran and Associate Professor Stinne Greisen Your competences You have academic qualifications at PhD
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PostDoc in "Geopolitical dilemmas for management: transfer of governance for the Southern Ocean" ...
conditions are particularly vulnerable, as their habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management
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habitats with optimal environmental conditions become increasingly scarce. All in all, these ongoing changes highlight the urgent need to rethink the management of this unique region, ensuring that it
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, delay, network lifetime, power efficiency, and security. In the literature, WSN design is typically optimized to maximize/minimize one or more of the abovementioned metrics under certain constraints