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Field
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other lab members to design, plan, and implement complex research experiments within the context of a biological research plan (80%) Communicate the findings of scientific studies in publications and at
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or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research
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-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https
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over time. This, key skills include familiarity with data management or large multi-method data sets and excellent data-analytic skills, especially those relevant to complex, large longitudinal studies
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tools in combustion. Our computational codes are also used by various international research institutions. Both experimental and numerical projects are conducted in parallel providing a platform for
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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. Ready to be part of our team? Let’s shape the future together! About the team: The Computational Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning
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project calls. Participate in scientific publication and dissemination of results to policymakers and communities. Required Qualifications: PhD in geomatics, data science, computer science, urban
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shielding, radiation damage, particle transport. Computational skills allowing to compose or modify comprehensive simulation open-source codes. Experience in data analysis and simulations of complex and
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the appointment. Ability to demonstrate professional competence in relevant research activities. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis), and