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laboratory, home-like and real-world environments Implement novel advanced machine learning methods (e.g., federated learning techniques) Apply existing algorithms, develop and implement new signal processing
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algorithms, electric and magnetic fields, ultrasound, optics and targeted radiation, microfluidics, controlled force sensing and actuation and related tools for probing and controlling biomolecular systems
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) ● Dr. A. Proust (Mistras, France) Secondments (1 to 6 hosting months) Contact information ● tahar.kechadi@ucd.ie ● guillaume.charrier@inrae.fr How to apply https://www.eu4greenfielddata.eu/phd-positions
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on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse backgrounds, e.g
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, and inline interpretation. The work includes validating algorithms on a lab-scale sorting setup and linking spectroscopic outputs to recyclability scoring and Digital Product Passport data flows. Your
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(R2) Positions PhD Positions Application Deadline 1 Mar 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Mar 2026 Is the job funded
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major research center whose academic partners include Université Grenoble Alpes, Grenoble INP – UGA, CNRS, and Inria. The LIG brings together nearly 500 researchers, faculty members, PhD students, and
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diploma in a biomedical field and/or in quantitative disciplines such as mathematics, computer science, data science, bioinformatics, or related areas. Completed PhD thesis in a biomedical field or in
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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Your Job: As part of an interdisciplinary project team with researchers from bioinformatics you will work on quantum algorithms for drug discovery. Here, the focus lies on machine learning and