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learning and signal processing approaches to classify cap types from raw signal traces. Collaborate closely with experimental researchers to guide experimental design and interpret data. Contribute
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reliability of R-Mode, particularly under varying environmental conditions. Key objectives include understanding the physical processes that affect R-Mode signal propagation, quantifying the variability
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particular those based on harmonic and functional analysis. Focus topics include signal processing, information theory, sampling theory and bases of exponentials, time-frequency analysis, phase retrieval
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The Leibniz Institute for the History and Culture of Eastern Europe (GWZO) conductscomparative research into historical and cultural developments and processes in the region between the Baltic Sea
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with free electron lasers offer a new route to the structure determination of biomolecules. Due to the super-low signal-to-noise ratio, computing the structure from such data is challenging, and new
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. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
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balance. Lead data analysis efforts, applying advanced signal processing and statistical techniques to extract meaningful insights from electrophysiological and imaging data. Collaborate with
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point here is how digital technologies, particularly artificial intelligence (AI), are transforming the way knowledge is created and disseminated. Future postholders’ research should fit within this scope
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, computer-aided drug design or a related field. Track record of scientific innovation, as demonstrated by scientific publications, patents, relevant presentations, or software code. Demonstrated experience in
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., interventions), advanced statistical modeling skills (e.g., Bayesian mixed models), advanced cognitive modeling skills (e.g., signal detection theory, evidence accumulation models, reinforcement learning), and