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those resulting from academic degree recognition processes. Preferred factors: In-depth knowledge of Deep Learning and LLMs: practical knowledge with Deep Learning architectures, and in particular, with
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; Collaborate in the design and methodological operationalisation of the empirical study, including the definition of instruments and data collection protocols; Participate in the collection of qualitative and
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; Proof of academic qualifications completed by the deadline for applications is required, in the contracting phase, including those resulting from academic degree recognition processes. Preferred factors
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for applications is required, in the contracting phase, including those resulting from academic degree recognition processes. Preferred factors: In-depth knowledge of Deep Learning and Large Language Models (LLMs
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research and policy. You will also contribute to the design and development of a participant-facing data donation platform and a suite of tools for researchers to manage and visualise digital data. Working
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research within functional precision oncology, with a particular focus on patient-derived colorectal tumouroids and drug repurposing. Design, perform and optimise high-throughput drug screens on 3D
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of Architecture and Planning is one of four departments in the Faculty of Architecture and Design Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/289185/postdoctoral-fellow-in-di
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a fixed-term (36 months) full-time Postdoctoral Research Fellow position. You will work closely with Professor Roberts to design and implement psychological experiments that induce emotional states in
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aimed at advancing women’s careers in mathematics and we particularly welcome applications from women. Applications will be made through mathjobs.org https://www.mathjobs.org/jobs/fellowship/26976
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models, employ RAGs) and investigate the possibility to include those models to the design of intelligent user interfaces (IUIs powered by those models). Moreover, they will employ extensive case studies