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new cures to the world's deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our
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, you will be asked to indicate, which of the areas listed on the page above are of interest to you. The list includes positions covering Operator Algebras, Machine Learning, Analytic Number Theory
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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their control over visual attention in school settings. Working independently within an interdisciplinary team, they will collaborate closely with Dr. Samuel Westwood (King’s College London), Dr. Elizabeth Liddle
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mechatronics ● Proficiency in computing languages such as C++, Python & C#. ● Ability to collaborate effectively with people from a variety of communities, backgrounds, and identities. Preferred
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opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our
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collaboration between Newcastle University, Durham University, Teesside University and the National Trust. The project will work alongside an evaluation team from Durham and Northumbria Universities. The post
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Fritz Haber Institute of the Max Planck Society, Berlin | Berlin, Berlin | Germany | about 2 months ago
or Postdoctoral position (m/f/d) - Interpretable Machine Learning for Catalytic Reaction Network Discovery. A full-time PhD or Postdoctoral position is available in a collaborative Max Planck research
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, analytical modelling, and numerical simulations to develop and validate novel reinforcement systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing
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strong interest in interdisciplinary research in the biological and medical sciences and experience of programming in Python, or demonstrated ability to rapidly acquire fluent knowledge of new programming