88 machine-learning-"https:" "https:" "https:" "Computer Vision Center" PhD positions in Finland
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Doctoral Researcher in Trustworthy Machine Learning Employer AALTO UNIVERSITY Location Finland (FI) Salary 3168 EUR per month Closing date 31 Oct 2026 View more categories View less categories Job
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Researcher in Trustworthy Machine Learning Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to
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doctoral researcher(PhD student) with a strong background in probabilistic machine learning, statistics, applied mathematics, computer science, or a related field, and strong programming skills, to
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mathematics, computer science, or a related field, and strong programming skills, to work on biology-informed machine learning for dynamical systems (see project description below). The position is based at
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Chemistry and Materials Science is looking for: A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians The ELPH-ML project, led by Dr
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Doctoral Researchers in Reinforcement Learning Employer AALTO UNIVERSITY Location Finland (FI) Salary 3143 €/month Closing date 23 Oct 2026 View more categories View less categories Job Type Research
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-funded project focused on continual reinforcement learning for real-world systems. The grant provides a stable, well-resourced four-year research environment to tackle a problem that classical RL
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in this role, you should have: A master’s degree, or be close to completing a master’s degree, in speech or audio processing, machine learning, signal processing, computer science, electrical
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machine learning, computer vision, multimodal perception, probabilistic modeling, and interpretable artificial intelligence. The research will be conducted in collaboration with leading national and
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events and the climate. The doctoral researcher will be working on the AI-Dream project. They will have to develop criteria and evaluation suites to test the “physical” accuracy of deep Machine Learning