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RESEARCH FELLOWSHIP Research Fellowship (1 vacancy) CEB-BI-16-2026 A call for applications is now open for the attribution of one research grant within the scope of the R&D project, VictuAI – Artificial
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design and discovery, including the use of artificial intelligence (AI) and machine learning (ML) techniques. The hired candidate will focus on computational aspects of immune repertoire analyses
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/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial Intelligence, or a related discipline from a strong institution. Skills
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, building automation and control (BAC) system, Artificial Intelligence (AI) & Machine-Learning (ML) applications. Good written and oral communication skills Proficiency in power system modelling, advanced
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to the following weights and criteria: - Criterion 1 – Graduation average - Criterion 2 - Academic Performance in Bioinformatics and Artificial Intelligence VII.II- I – In the evaluation of the interview, candidates
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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, and analysis of spatial data, using Geographic Information Systems and Artificial Intelligence (AI), and integrating multiple technologies and methods (for example: geographic and statistical databases
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using state-of-the-art technologies including genomics, artificial intelligence, genetic simulation, and speed breeding. This is a unique opportunity to expand your expertise in applied breeding
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areas. This fellowship places a strong emphasis on the application of machine learning, artificial intelligence, and bioinformatics to solve complex biological problems. Potential research activities may
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and Artificial Intelligence method for predicting the risk of adverse outcomes in respiratory diseases. This position is funded via multiple grants and international collaborative projects. To see