171 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" positions in Finland
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learning. Work-life balance matters to us – we offer flexible working hours and the possibility to work partly remotely. The salary is based on both the job requirement and the employee’s personal
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., Python, Matlab, Fortran, C). Ability and willingness to learn new things. Good communication skills. See also the requirements of the University of Oulu Graduate School (UniOGS) . Salary The position is
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and willingness to learn new things. Good communication skills. See also the requirements of the University of Oulu Graduate School (UniOGS) . Salary The position is fixed-term for 4 years starting
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-Pohjanmaa Country: Finland Reference number: 2026/124 Published: 2026-03-04 Last application date: 2026-04-30 Where to apply Website https://academicpositions.com/ad/university-of-oulu/2026/professor
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. The DCs will be guided by leading experts from academia and industry through well-structured projects, secondments, and training activities. This comprehensive approach ensures that candidates acquire
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? Please make sure that your ORCID-profile (https://orcid.org ) works: your publications are listed and public (Set visibility: Everyone). You cannot apply to this job without an ORCID profile
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of educational work Practical experience in teaching and efforts to improve teaching, digital teaching skills, and giving feedback, possible participation in continuous learning provision, and international
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participation in continuous learning provision, and international educational collaboration Production and use of learning materials, including open educational resources Maintaining and developing one’s own
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number: 2026/137 Published: 2026-03-04 Last application date: 2026-03-29 Where to apply Website https://academicpositions.com/ad/university-of-oulu/2026/university-teacher-epi… Requirements Research
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workflows that integrate modern AI and machine learning concepts (e.g., surrogate models, adaptive sampling strategies) into the drug discovery pipeline to increase throughput and predictive accuracy