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that yield valid statistical conclusions (inference) on causal effects when using machine learning algorithms and big datasets. The project is part of the research environment Stat4Reg (www.stat4reg.se ), and
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; they make sense to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project
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the European Regional Development Fund. Subject description The subject includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals
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Fund. Subject description The subject includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related
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, signal processing and/or wireless communication. Basic knowledge of and/or experience in working with reinforcement learning/other machine learning algorithms Excellent command of spoken and written
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to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and
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Department of Forest Genetics and Plant Physiology WIFORCE Research School Do you want to contribute to the future sustainable use of forests? Apply to join WIFORCE Research School! Biodiversity and
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the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics
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Department of Forest Genetics and Plant Physiology WIFORCE Research School Do you want to contribute to the future sustainable use of forests? Apply to join WIFORCE Research School! Biodiversity and
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position within a Research Infrastructure? No Offer Description Department of Forest Genetics and Plant Physiology WIFORCE Research School Do you want to contribute to the future sustainable use of forests