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Field
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students. Designing novel experiments and concept in several basic, translational, and clinical projects in metabolic diseases and pregnancy disorders Good computer literacy including databases, standard
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Systems and Software Program (WASP ). You can find more information about us on the Department of Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one
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to software releases and reports, and mentor or collaborate with students and researchers as appropriate. We are looking for: PhD degree, within the last 3 years, in Computer Science, Computational Science
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. Proficient with scientific computing and data-analysis software; experience with MATLAB, Python, R, or related platforms is strongly preferred. Experience with intracranial EEG (iEEG/ECoG/SEEG) or multichannel
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Familiarity with research computing, virtual server solutions and software development Ability to communicate technical or clinical research concepts clearly to academic and non-academic audiences What we offer
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particular focus on increasingly autonomous and agentic models. The research will examine frontier AI systems that interact with operating systems, APIs, software tools, other agents, and complex environments
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benchmarks; Application of game-theoretic solvers to multi-agent autonomous systems; About WASP: The position is affiliated with the Wallenberg AI, Autonomous Systems and Software Program (WASP), Sweden's
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2026 - 23:59 (UTC) Country Brazil Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics
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centre for research and innovation in computer science, education technology and computing education. The role will involve close collaboration with: The Isaac Science and Ada Computer Science software