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aquaculture [1-3] and there is an urgent need to mitigate the impact parasitic infections have on both fish welfare and sustainable growth in the sector. Development of vaccine technology over the last 20 years
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Apply Now Job Summary The Rackham Professional Development and Engagement team is seeking Temporary Program Assistants to support the development, delivery, and analysis of outcomes for the Biotech
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the Mechanics of Composites for Energy and Mobility Lab. (MCEM, https://composites.kaust.edu.sa ). Field of study We are seeking a highly motivated Research Engineer to join our research lab and contribute
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design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
Developer will report to the Director of the Center for Environmental Modeling for Policy Development, within the Institute for the Environment. The Research Associate will support software development
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DOCTORATE IN THE RESEARCH LINE OF ROBOTICS AND AI FOR AUTISM (CALL CODE C-088/25). More information: https://tablon.upct.es/anuncio/ Vpjvq9n y 7 L Deadline for submission of applications: January 28. TITLE
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The main objective of the project is to develop an instrument model to predict
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objective of ATMRI is to support research and innovation in air traffic management. ATMRI focuses on developing practical and data-driven solutions for complex aviation systems, in close collaboration with
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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 12 days ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of methodologies and machine learning algorithms for the detection of anomalous behaviors in flow rate