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Field
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strong interdisciplinary collaboration. You will work alongside researchers from a wide range of disciplines and engage with hospitals, industry and public-sector partners to address some of society's most
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the Crip1a protein modulates CB1R signaling through long-range allosteric interactions and in synergy with specific lipids, namely PUFA-PL. This modulation alters the receptor's conformational landscape and
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
support decision-makers in analyzing real-time and historical data to better coordinate operators, equipment, and facilities, as well as manage operations across multiple projects and supply chain partners
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Details In compliance with NYS's Pay Transparency Act, the salary range for this position is listed above. Rochester Institute of Technology considers factors such as (but not limited to) scope and
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allows to hermetically seal the fluidic channels of a MEMS-based microfluidic sensor to a fluidic adaptor. The seal shall be able to withstand pressures up to 30 bar at a temperature range between -20°C
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to the development of real-time monitoring and automated decision-support systems Publish results in international scientific journals and conferences Participate in national and international research activities
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the impacts of extreme heat exposure on learning and decision-making, as relevant to mental health. This is a full-time role, based in Central Cambridge. The primary function of this post is to undertake
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academic environment for research and education in geoscience. It offers a broad range of expertise that can contribute to solving important societal issues. Earth is a dynamic and constantly changing planet
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
logistics. The PhD research will focus on AI-enhanced planning of operations in shipbuilding supply chains, examining how AI techniques can support decision-makers in analyzing real-time and historical data
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early years settings, including working while unwell due to staffing pressures, and adherence to relevant public health interventions designed to limit infections. Use a range of appropriate economic