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purposes to meet multiple information and strategic requirements for the various stakeholders of the university. The successful candidate will join a team of other data analysts and data scientists to engage
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at the interface between computational design and in vitro experiments, the team has developed multiple in silico and in vitro methods to design novel antibodies and nanobodies as therapeutic agents and research
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(EHR) data built by a multidisciplinary team of software developers, machine learning engineers, clinical researchers and health informaticians. The CogStack team is at the forefront of building
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Location: Odense, 5230, Denmark [map ] Subject Areas: Pure math, with relations to quantum theory or with emphasis on Quantum algorithms, Quantum software and Quantum computing. Appl Deadline: 2025/12/01 11
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both fundamental and applied research, from the development of algorithms, tools, and frameworks that advance scientific discovery to methodologies that utilize computational approaches to generate
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-resource settings. This project aims to achieve several objectives, including the development of a new AI-algorithm and a paired dataset for comparing how different imaging techniques influence
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storytelling skills to produce videos that resonate with diverse audiences across multiple platforms. He/She will need to work closely with different stakeholders across NBS to achieve the intended impact for
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of Excellence for Data-Driven Discovery, applying advanced computational techniques to develop novel therapeutics. This position will work closely with researchers in the Center of Excellence for Data Driven
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the Interpretation of data from multiple sources. Developing and implementing software programs and services, software notebooks and software scripts for data transformation, data integration, data analysis and data
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to open-source libraries and publications in relevant journals or conferences are highly valued. Experience participating in multiple software development projects simultaneously, ensuring timely delivery