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to enhance imaging quality and speed Creating efficient data acquisition and processing workflows for large datasets of skin nanotexture images Optimizing hardware-software integration for robust performance
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and
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platforms. Experience in high-performance computing or working with large-scale simulation environments. Prior work involving model calibration, optimization under uncertainty, or scenario analysis
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to assess stakeholder needs, create PV-integrated sensors to monitor agriculture-specific stressors, model stress impacts on PV performance, and develop innovative PV tracker controls. These elements will be
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of the probability and analysis groups. Projects may include, but are not limited to: Analysis on metric spaces including fractals Heat kernel estimates and functional inequalities Rough paths, stochastic differential
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established BA program in psychology. The expected starting date is December 1, 2025, or as soon as possible thereafter. Responsibilities and tasks In this role, you will contribute to conducting a meta
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regulation, with special focus to understand the mechanisms of gene activation by cis-regulatory enhancers. The project will use quantitative proteomics and genomics to further understand the role
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The Niels Bohr Institute, Section for Biocomplexity and Biophysics, invites applicants for a two-year Postdoctoral position which is part of a research grant financed by the Novo-Nordisk Foundation
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Description Do you want to work with innovative technologies for textile recycling and help shape the future of circular materials in Europe? And do you see yourself as a team player who is strong in
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functions in a non-invasive way through sensing the tiny magnetic fields produced by neuronal currents. Today, this need is primarily met by quantum sensors that must be operated at cryogenic temperatures