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models of brain injury. Candidates should have a PhD in neuroscience or a related field and have experience with mouse behavioral analysis and intracranial survival surgeries. They will help lead a
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arrive at classroom and other campus locations; position operates a computer and other office productivity machinery to correspond with students and staff, instruct students, etc; position communicates
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experience aligned to the goals of at least one of the Centre for Data Science and AI’s with commensurate output. E2 Substantial experience in machine learning and AI, including experience in machine learning
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction
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of lab assessments in conjunction with KUSM tricampus faculty. Assist and participate with basic science anatomy integration in Phase 2. Provide content-specific learning support by promptly answering
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intelligence, machine learning, big data and network analysis, computational and Bayesian methods, are encouraged to apply. Minimum Qualifications PhD in Statistics or closely related fields with documented
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, course administration, and supervision of doctoral students, in both Swedish and English. If you are not initially able to teach in Swedish, Swedish language training aimed at achieving this competence
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” research themes. The successful candidate will have: a PhD in Translation Studies/Machine Translation; practical experience conducting data-driven research in a machine translation/large language models (LLM
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deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an interest in their application to embodied systems. What