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, responsibilities and activities may change at any time with or without notice. Required Qualifications: PhD in immunology, biochemistry or a related field. Experience with standard molecular biology techniques
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performance. Minimum Qualifications Required PhD or equivalent in computer science, computational biology, biomedical engineering, or a related field by the appointment start date Expertise and a demonstrated
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to the IE faculty's Doctoral Programme (https://www.ntnu.edu/ie/research/phd/ ), see Section 6-1 of the PhD regulations for more information. You must have a relevant Master's degree in Computer Science and
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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is a prerequisite that you gain admission to the PhD programme in engineering https://www.ntnu.edu/studies/phiv within three months of your employment contract start date, and that you participate in
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discovery. The successful candidate will establish an ambitious research programme focused on accelerating materials discovery, development and translation of functional electronic materials and devices
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be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the NV faculty's Doctoral Programme . (https://www.ntnu.edu/nv
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Directing and supervising the Institute’s teaching and
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: i) Develop computer vision systems in the context of agriculture; ii) Develop computational systems iii) Promote the dissemination and exploitation of the results generated in the project. 4