38 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions in Finland
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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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fields. Your research can be theoretical, applied, or span both. Deadline February 9, 2026. Where to apply Website https://jobrxiv.org/job/ellis-institute-finland-27778-postdocs-in-machine-learn
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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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position within a Research Infrastructure? No Offer Description Research Assistant wanted! Join research on forest and peatland biodiversity and restoration. Work with remote sensing data, machine learning
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following themes: Traffic modelling and multimodal transport simulation Travel behaviour and choice modelling Network optimization and algorithmic methods Machine learning and data-driven approaches
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). Programming skills with Matlab, C/C++ or Python. Research experience in machine learning and artificial intelligence and/or inverse problem applied to imaging applications. Salary The position is fixed-term
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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
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of Computing The Department of Computing educates professionals for the modern digitalised society. Central themes of teaching and research include Digitalisation, Machine Learning, Autonomous and Intelligent
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society. Central themes of teaching and research include Digitalisation, Machine Learning, Autonomous and Intelligent Systems, Cybersecurity and Health Technology. The Faculty of Technology is the newest
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. Who are you? We are seeking a talented and motivated candidate to implement Artificial Intelligence/Machine Learning (AI/ML) algorithms for modeling and improving the observation of hydrological