155 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Finland
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- UNIVERSITY OF HELSINKI
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, digital teaching skills, and giving feedback, possible participation in continuous learning provision, and international educational collaboration Production and use of learning materials, including open
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teach German language and culture to students who have no previous knowledge of the subject. The position is part of the national SARAVE project of Finnish universities and located at the University
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requirements of the doctoral programme at the hosting institution Have a strong interest in ageing and digitalization Possess good written and spoken English skills Please see the descriptions on http
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to promoting diversity, equality, and non-discrimination in all its activities. Thus, we promote equal opportunities to learn, acquire knowledge, participate, and make a difference. As an equal-opportunity
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machine learning techniques, and GPU programming. The simulation results will be compared to observational data obtained using facilities worldwide including ESO and NOT. Who we are looking for A successful
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resolution by integrating plasmonic nanopores with a high-speed Raman detection system, an automated control system, computer simulations, and advanced Raman-based bioinformatics. The RamanProSeq consortium
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net period of time, which does not include parental leaves, military service etc.) good skills in spoken and written English motivation for research work in aerosol physics or chemistry. Please note
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cooperation in a multidisciplinary environment Pedagogical studies, merits and experience Merits in supervising Bachelor’s, Master’s and doctoral students Proficiency in Finnish or strong motivation to learn
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, military service etc.) Excellent/good skills in spoken and written English. English is used as the language of instruction and supervision in this position. Expectations A formal background in bioinformatics
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of solar energy systems, applying machine learning methods, and data analysis. A background can be in materials engineering, physics, electrical engineering, computer science, or another suitable field. In