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) Country Hong Kong Application Deadline 25 Oct 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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), including during a postdoctoral fellowship. Experience with high-performance computing centers as well as with modern statistical software (R, etc.) and programming languages (Python, etc.). The candidate is
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publication record that document solid expertise in computer science and interdisciplinary research strong technical skills good communication skills in English. Documented fluency in English is therefore
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), is a transdisciplinary initiative at the intersection of biomedicine and digital sciences. The programme aims to develop translational research based on the integration of multi-omics data. In
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Engineering field in computer science, or related field. Strong expertise in natural language processing (NLP) and large language models (LLM) Over 1-year research experience in the above required areas
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shaping strategy. What you will do: Lead research into metadata-driven health informatics using RO-Crate Investigate validation mechanisms (e.g. SHACL, SPARQL), semantic schemas and provenance profiles
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 12 days ago
; - Commitment to enrol in a PhD Program in the future and prepare fellowship applications; - Fluent (writing and speaking) in English and Portuguese; - The candidate must demonstrate an interest in the scientific
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quantitative science, statistics, computer science, mathematics, engineering, or a related discipline. The position will also require the ability to work quickly on time-sensitive analyses and collaborate with
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qualified for admission to the Faculty’s ph.d. program: https://www.sv.uio.no/english/research/phd/application/phd-fellowship/index.html Applicants must hold a medical degree and have experience of treating
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date) in Data Science, Computer Science, Statistics, Environmental Science, Sustainability Studies, or a related field with a strong quantitative focus. Applicants with an interdisciplinary degree