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analysis Machine learning and retrieval-augmented AI models for biomarker prioritization and decision support ·Work closely with cross-functional team members to develop hypotheses, interpret data, and
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you think you are suitable for this position (2) a CV or resume and (3) the name and contact information for two references. Timing and compensation: Applications will be reviewed on a rolling basis and
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, why you think you are suitable for this position, and the date you are available to start, (2) a CV or resume and (3) the name and contact info of two references. Application and documents can be
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. • Experience working with Staphylococcus aureus or related Gram-positive bacteria is desirable. • Ability to work independently, interpret datasets, and think critically. • Strong collaborative skills and
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data challenges. Responsibilities Design and implement LLM-based methods for clinical data harmonization, semantic normalization, and ontology alignment Develop multi-agent or RAG-style (retrieval
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We are a frontier artificial-intelligence laboratory, still in stealth, established for a single purpose: to build an AI capable of original discovery — a system that does not merely retrieve and
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investigating the terrestrial cryosphere and is involved in various high-level research projects and centers. (See for instance http://www.mn.uio.no/geo/english/about/organisation/geohyd and https
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educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ UiO is subject to
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of Mathematics and Natural Sciences (https://www.mn.uio.no/geo/english/research/about/infrastructure/facilities/observations/geosciences/the-drone-infrastructure-laboratory/ ). The position is embedded in a
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think you are suitable for this position, and the date you are available to start, (2) a CV or resume and (3) the name and contact info of two references. Application and documents can be submitted