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or equivalent Skills/Qualifications What we expect A doctoral degree (PhD) in science, preferably in systems biology, bioinformatics, (bio)-statistics, (computational) biology, computer science, engineering
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or October 2026. Tuition fees per semester in EUR None Combined Master's degree / PhD programme Yes Joint degree / double degree programme No Description/content The Berlin Mathematical School (BMS) is the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
Computational Medicine Program at the University of North Carolina – Chapel Hill (http://miaolab.org ) invites applications for a Postdoctoral position in AI driven drug discovery and accelerated molecular
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management, workflow management, High Performance Computing (HPC), machine learning and Artificial Intelligence to enhance our capabilities in making AI-ready scientific data. As a postdoctoral fellow at ORNL
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Science or related field is required. To be considered for teaching graduate level courses a PhD. in Computer Science or related field is required. Preferred Qualifications PhD in Computer Science or related field
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2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe Is the Job related to staff
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Degree Dr rer nat Course location Münster Teaching language English Languages English only Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline https
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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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talented scientists with the ambition to grow. For more information about LIACS, see http://www.cs.leiden.edu . What you bring A MSc degree in Computer science, Artificial Intelligence, or a related field
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, artificial intelligence (AI), and socio-economic analysis. This program will equip them with advanced expertise in reservoir modelling, machine learning, advanced oxidation processes (AOP), and microbial