380 algorithm-"Multiple"-"U.S"-"Simons-Foundation"-"University-of-Wisconsin-Madison" positions
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, hardware and software projects. Works on algorithm development, optimization, programming, performance analysis and / or benchmarking assignments of moderate scope where the tasks involve knowledge of either
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-disciplinary scientists who can use multiple tools and approaches with a desire to advance science at the intersection of soil health and/or water resources with plant production, soil-plant-microbe interactions
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collaboration between multiple partners, including Department of Chemical and Biochemical Engineering, DTU and industry partners – Danfoss and SaltPower. This initiative bridges academic research with industrial
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submission to journals and conferences. Present research findings at seminars, conferences, and scientific venues. Develop innovative and robust machine learning algorithms to personalize interventions
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scientists who can use multiple tools and approaches with a desire to advance science at the intersection of soil health and/or water resources with plant production, soil-plant-microbe interactions
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peer-reviewed journals. The Research Scientist works with large-scale datasets, conducts experiments to validate hypotheses, and refines algorithms for efficiency, scalability, and interpretability
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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weather events and align closely with established physical climate principles and AI theory. Contribute to algorithm development and foundational model design for innovative AI weather and climate
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to contributions in top-tier international journals and real-world implementations. Responsibilities: Develop and refine algorithms for decision optimization and risk control, utilizing big data and advanced
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use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives