176 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions in Finland
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of Science, Forestry and Technology at the University of Eastern Finland: https://www.uef.fi/fi/ita-suomen-yliopiston-tohtorikoulu . The doctoral researcher will also join Luke’s doctoral and postdoctoral
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remain open until a suitable candidate is found. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/407944/doctoral-researcher… Requirements Additional Information Work Location(s
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more detailed description of the project can be found here: https://invest.utu.fi/projects/ Applicants are expected to have strong and versatile methodological skills, including multilevel models (mixed
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across all areas in Computer Science, including Algorithms and theory Bioinformatics and digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and
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/or Korte), 3. Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic game theory and theory of metric spaces (with
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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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, 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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intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions. More information: https
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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers