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to deploy machine learning to support data analytics and complex decision-making processes. Knowledge of modern SW-tools in the area of energy and sustainability is highly beneficial. Your role and goals You
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to apply for our open positions. Benefits In the Materials Informatics Laboratory group, we combine electronic structure simulations and machine learning to pursue innovative applications for future
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. The concept has lately gained increasing interest from researchers in applied mathematics and machine learning. This is due to its remarkable flexibility, mathematical elegance, and as it has produced state
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electrical engineering, control engineering, computer science, applied mathematics or a related field. The successful candidate will have expertise in at least in one of: Machine learning in the context
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-immunology-program-trimm YOUR QUALIFICATIONS We are looking for ambitious researchers with a PhD, a solid publication record, and strong background in some of the following experimental/computational areas
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7 Nov 2025 Job Information Organisation/Company Tampere University Research Field Computer science » Programming Computer science » Other Engineering » Computer engineering Engineering » Electrical
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topics. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine
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) Established Researcher (R3) Country Finland Application Deadline 15 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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achievements (half page) and research vision for postdoctoral period (half page) A complete CV, including PhD thesis title, date of defence and link to the online version of the thesis (if exists), previous and
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tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier