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with such models. Experience with machine learning methods applied to biological data. Familiarity with large language model APIs and frameworks (e.g., Claude/Anthropic API, OpenAI API, LangChain
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, large language models, or computer vision is preferred Knowledge, Skills and Abilities: · Teamwork: Ability to collaborate with others and contribute to a team environment · Communication
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processing of large data sets, knowledge of data acquisition systems, signal and image processing as well as experience in measuring acoustic pressures in cavitating liquids and high-speed filming is highly
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early-onset depression. The goal of this project is to harness big data to stratify risk for early-onset depression. The goal of the Danish work package, which is led by Dr. Katherine Musliner at the AU
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team. · Applies statistical methods to large-scale, longitudinal training-related behavioral data. · Maintains substantial knowledge of state-of-the-art principles and theories
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for the needs and capabilities of both humans and machines. The project aims to solve diverse use cases in a broad set of application contexts. The management of large-scale service and infrastructure systems
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case an applicant does not wish to be registered on the public application list, the applicant will need to give a reasonable justification. Information about the applicant can still be published
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of health care and treatment. A large number of projects in the department are carried out in cooperation with Danish and international collaborators. About the research project The position entails research
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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complex biological data into mechanistic insights with direct relevance for therapeutic and diagnostic innovation. The laboratory is based at one of the world's leading medical universities and promotes