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Field
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and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed in a previous PhD project. In addition to electromagnetic geophysics
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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electromagnetic data during drilling. This includes the further development and application of fast solvers for Maxwell’s equations and nonlinear inversion algorithms that we have already developed in a previous
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, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
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, especially in the field of optoelectronics; Experience in programming languages such as C++, Python, LabVIEW, IGOR, or MATLAB for data analysis and algorithm development; -Experience with simultaneously
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skills in data analysis, machine learning, as well as in mathematical and computational modelling? You will have the opportunity to investigate innovative solutions using machine learning algorithms and
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31st May 2025 Languages English English Norsk Nynorsk English Postdoctoral Research Fellow position within Algorithms and Extremal Combinatorics Apply for this job See advertisement UiB - Knowledge
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particular sequential, multiple assignment, and randomized trial design. You will have the opportunity to mentor the PhD students on the team. Experience in any of the following areas may be useful: SMART
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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as assigned. Additional Information: The target hiring range for this job profile is $64,300/$74,425/$84,550. The actual salary paid to an individual will vary based on multiple factors, including but