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Field
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problem-solving skills Experience developing, testing, and refining machine learning models Excellent written and oral communication skills Experience with publishing in peer-reviewed journals Stipend
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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to the roles of political economy, policy, regulation and business models in resource and energy use in production, consumption or both (especially in housing and cars) or equivalent experience gained through
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Nair, to study how machine learning models and neural circuits in the brain process states of emotion. The Nair group combines cutting-edge systems neuroscience tools with the development of new AI
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at the Geophysical Institute , University of Bergen. The position is offered for a fixed-term period of 3 years, with the possibility of a fourth year dedicated to career-development activities, such as teaching
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timely research question: How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization? We are particularly interested in: LLM-driven
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other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases
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of data-driven approaches in computational mechanics. The research activities related to this position pursue the development of data-driven computational mechanics that will be subsequently applied
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project is required to: Develop and implement advanced process and energy system models for integrated, low-carbon, and net-zero energy applications. Conduct research on energy systems integration and
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assembly. If we can model early microbiome development and demonstrate that these models predict real biological behaviour, we move closer to rationally designing interventions that support healthy infant