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Field
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software that makes these methods usable and reproducible for other researchers. Design and execute computational studies that assess model performance, sensitivity, and parameter identifiability, and that
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direct biomedical relevance. We are embedded in both the VIB Center for AI & Computational Biology —a young, ambitious center whose research groups address biological questions through the lens of AI—and
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present scientific results. # Software and tools - Proficiency in standard computer tools. - Experience with mass spectrometry data processing and analysis software. # Personal skills - Autonomy, rigor, and
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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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. 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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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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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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outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics