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the PhD program for humanities, culture, and educational sciences. Apply for this job See advertisement About the position We are looking for applicants with an exciting research idea who is motivated
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year. This will be based on your potential for teaching and other duties. The nominal length of the PhD programme is three years. The fourth year would be distributed as 25 % each year and will consist
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four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is that
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be based on your potential for teaching and other duties. The nominal length of the PhD programme is three years. The fourth year would be distributed as 25 % each year and will consist of teaching and
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immunology is an advantage. Experience in high-performance parallel computing is an advantage. Experience with machine learning and or other mathematical approaches used in (bulk and single-cell) immune
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program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene dine på
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Deadline 15 Oct 2025 - 23:00 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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24 Oct 2025 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Computer Science Research Field Computer science Researcher Profile
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This is NTNU NTNU is a broad-based university with a technical-scientific profile and a focus on professional education. The university is located in three cities with headquarters in Trondheim. At NTNU, 9,000 employees and 44,000 students work to create knowledge for a better world. ... (Video...
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22nd October 2025 Languages English English English Join NMBU’s PheNo project and advance AI-driven modelling in plant phenotyping. Postdoctoral fellow in Computational Plant Genetics and Digital