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Berkeley Lab’s Energy Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help transform how critical materials are produced. In this role, you’ll bring together machine learning, real-time monitoring, and thermochemical insight to build smarter,...
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Food and Beverage Accelerator Program : Based in the Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time (100%), fixed-term lab-based position for up to 2 years Base salary
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their full potential. We are a Disability Confident Employer and proud members of the Stonewall Diversity Champions Programme. We are committed to actively exploring flexible working options for each role and
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program evaluation protocol that constructively evaluates the impact, potential opportunities, and future directions of the Resilience CoP. Collaboratively refine and implement a robust qualitative multiple
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Observatory of Japan (NAOJ, under JSPS-KAKENHI International Leading Research (ILR) program; 22K21349) co-funded position offers a unique opportunity to work at the intersection of astronomy, optics, and
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, including dealing with problems that may affect the achievement of research objectives and deadlines. • Contribute to the planning and organising of the ReLiB research programme. • Co-ordinate own work
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. • Join journal clubs. • Conduct a wide range of neural network analysis Job Requirements The project requires a researcher with a • PhD in Computer Science, Biostatistics, Statistics or other related
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remediation. Join an established team of researchers and collaborate on cutting edge projects to help change the world. Key responsibilities will include: Research: Establish a research program, collaborate on
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for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is considered in making compensation decisions including, but not limited to, education
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What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern