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the structure of real prospection activities by integrating multiple, heterogeneous geospatial and archaeological data layers. Within this environment, we will design and evaluate new reinforcement learning
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Associate position is expected to last up to four years, renewable on a yearly basis, subject to performance. Compensation is determined by experience.(Link is external) Responsibilities Under the direction
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supervision of Master’s students and PhD researchers. Take part in open science and code sharing. Skills, expertise and qualifications A PhD degree in computational biology, machine learning, computer science
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are committed to excellence in research, education, and comprehensive healthcare across our clinics. Every day, our team of approximately 16,100 dedicated employees works to make the world a healthier place. Our
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characterization of polymers and polymer composites · Mastery of general microbiology including: chemical management, biology of bacteria and microscopy · Cell culture and colony identification and
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vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical
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field of topotactic reduction of nickelate thin films, a novel research direction in condensed matter physics. It will be fully funded within the framework of the ANR TAME project. The project concerns
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of personal background, because we believe diverse perspectives and experiences improve research, support collaboration, and deepen our shared engagement with society. Qualifications Applicants must hold a PhD
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to global issues of water and climate, with a focus on: Integrated Water Resources Management (IWRM) Development of water-related technologies (irrigation, water supply and sanitation, desalination
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eager to develop innovative financial models that support sustainable industrial transitions and help companies make better investment decisions in circular ecosystems? If you are ready to contribute