155 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof"-"Prof" positions in Finland
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metagenomics assembly” funded by the Research Council of Finland in the research group of University Lecturer Leena Salmela. We develop models, algorithms and data structures for high throughput sequencing data
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this project we will develop novel models for estimating the correctness of genome and metagenome assembly and algorithms and data structures for computing such correctness estimates. The Doctoral Researcher is
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process development? Would you like to develop innovative technology with superb colleagues who are top experts in their field? Do you want to work at the interface of the academy and industry? Are you
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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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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
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developing computational algorithms and theory grounded in notions of information geometry and Riemannian geometry to enhance Bayesian statistical inference and machine-learning related methods. We are part of
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project is to develop a high-performance computing framework for mass spectrometry proteomics to enhance efficient processing and interpretation of large datasets using deep learning algorithms and GPU
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of computer science represented at the department (algorithms, networks, software engineering, AI, data science) Experience of working in highly interdisciplinary environments Experience in designing
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teaching merits and, if necessary, a teaching demonstration. Additional evaluation criteria for this position are: Experience in some area of computer science represented at the department (algorithms
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embodied and justice-oriented approaches to datafication literacy, to support human agency and mitigate algorithmic harms. The focus will be on empirical research that uses different design and game-making