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Field
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related to software development and research. Understanding of fundamental data structures and algorithms for designing and implementing efficient software and models. Familiarity with cloud platforms and
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collected and writing up experiment results in the field of computational biology. Core responsibilities include: Working with biological data - implementing algorithms, programming and data analysis
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recognition neural networks (e.g., Tsetlin Machines, Graph Neural Networks, RNNs for time-series causal discovery, XGBoost). AI-driven heuristic search (e.g., genetic algorithms, genetic programming, simulated
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candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex data
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outstanding candidates whose work lies at the intersection of statistics, machine learning, data analytics and modern AI algorithms. This includes, in particular, statistics for high-dimensional and complex
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++. Strong analytical and problem-solving skills to identify and resolve issues related to software development and research. Understanding of fundamental data structures and algorithms for designing and
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research applications based on knowledge of the theoretical foundations of information and computation including algorithms and data structures, and the application of state-of-the-art programming
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Postdoc Fellowship - Vitercik” Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate
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chemical reactions and assembling functional nanomaterials from bottom-up in scanning tunnelling microscopy (STM). The project is tightly linked to machine learning algorithms in images (image classifier
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Department of Computer Science of Faculty of Science invites applications for a DOCTORAL RESEARCHER IN ALGORITHMS AND COMPUTATIONAL BIOLOGY starting from September 2025, or as agreed. The Doctoral