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ExPertQCD, led by Risto Paatelainen. The position is based at the Helsinki Institute of Physics (HIP) and the University of Helsinki, and focuses on developing algorithmic techniques, based on thermal Loop
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algorithms Predicting structured output Self-supervised learning Computational metabolomics Computational biomedicine Computational drug discovery Excellent technical and communications skills are required
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English. We also appreciate: An international vision and an open mind Experience with AI/deep learning algorithms and development Please also see the requirements of the University of Oulu Graduate School
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image analysis principles and algorithms. Proficiency with command line prompting and at least one programming language. Familiarity with software engineering practices such as version management, build
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science or engineering field; or equivalent combination of degree and experience required. Extensive experience with image analysis principles and algorithms. Proficiency with command line prompting and at
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of Finland under the supervision of Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University) . We have been developing computational algorithms and
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) Development of methods and algorithms to create and update digital maps in forest environment; 2) Development of SLAM algorithm and map representation that facilitates the use of different sensors and sensor
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, computer vision and pattern recognition, atmospheric modelling, and computational spectroscopy. We focus on in-depth understanding of data and related algorithms, data analysis, and machine learning. Our
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-depth understanding of data and related algorithms, data analysis, and machine learning. Our cross-cutting theme is machine learning-enhanced computational engineering. You’ll have an excellent
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person will focus on either using and/or developing Vlasiator. Prior knowledge in at least one of the following areas is required: GPU technologies, high-performance computing, parallelisation algorithms