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. Demonstrated experience designing analytical frameworks, and experience using machine learning algorithms and Bayesian statistics within the R-language. Demonstrated experience managing project workflows and
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-board Payload Signal and Data Processing algorithms and techniques for RF payloads and instruments in close collaboration with TEC-ED; and Time and frequency references, modelling, design tools
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the auspices of the National Oceanic and Atmospheric Administration (NOAA) Cooperative Institute for Research to Operations in Hydrology (CIROH; https://ciroh.ua.edu/). CIROH, headquartered at the University
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, University of Warsaw, Banacha 2, 02-097 Warsaw. Employee benefits: access to professional development, social benefits, and training opportunities. More information: https://en.bsp.uw.edu.pl/researchers/ Basic
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, and training opportunities. More information: https://en.bsp.uw.edu.pl/researchers/ Basic responsibilities and obligations The selected candidate will: conduct scientific research in the field
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National Institute for Research and Development in Microtechnologies - IMT Bucharest | Romania | about 2 months ago
Specific conditions necessary for the job:Experience in developing electronic applications for sensor interfacing and in implementing algorithms using FPGA technologies.Basic knowledge of telecommunications
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. We are looking for candidates whose work focuses on the broader area of Theory of Computing which includes complexity theory, algorithms, quantum computing, cryptography, differential privacy
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, probabalistic algorithms Noam Lifshitz Extremal combinatorics, additive combinatorics, analysis of boolean functions Elon Lindenstrauss Homogeneous dynamics, ergodic theory, number theory, additive
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transcriptomic technologies and biological data interpretation is a plus. Familiarity with optimizing cell segmentation algorithms for enhanced accuracy and efficiency, as well as experience with tools/packages
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self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed to irrigate