68 biomedical-signal-processing PhD positions

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  • Hannover Medical School • | Hannover, Niedersachsen | Germany | about 2 months ago

    each year after a rigorous selection procedure. The study programme was supported by the Wilhelm Hirte Foundation, by scholarships provided by Hannover Medical School and through Georg Christoph

  • University of Münster • | Germany | about 22 hours ago

    jointly run by Münster University's Cells in Motion Interfaculty Centre (CiM) and the Max Planck Institute for Molecular Biomedicine. The programme offers interdisciplinary approaches to biomedical research

  • University of Tübingen • | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago

    /Vascular Medicine, Imaging Technology and Biomedical Engineering, amongst others. A large catalogue of electives, which comprises advanced seminars and courses in soft skills and professional skills, is

  • vision, etc.) has had a huge impact on life science, proving that this field is constantly changing. The mission of QMB is to provide young scientists with the skills and resources to excel in this new

  • KNAW | Netherlands | 4 days ago

    (A-LIFE), Vrije Universiteit Amsterdam Subject areas All disciplines within the Domains: Behavioural Sciences, Social Sciences and Law Humanities Medical, Biomedical and Health Sciences Natural

  • Max Planck Institute of Biochemistry • | Planegg, Bayern | Germany | about 2 months ago

    , including but not limited to biology, biochemistry, biophysics, chemistry, computer sciences, engineering, mathematics and physics. Four-year BSc Hons (or equivalent degree) EU degrees: Four-year first class

  • Karlsruhe Institute of Technology • | Karlsruhe, Baden W rttemberg | Germany | about 2 months ago

    ; digital signal processing; computer-aided design of optical and photonic systems; LabView; MatLab/SimuLink) Scientific modules (Summer School; Karlsruhe Days of Optics & Photonics (KDOP); external

  • The University of Iowa | Iowa City, Iowa | United States | about 17 hours ago

    data to identify novel disease phenotypes. The candidates will work within a highly multi-disciplinary team of physicians, physiologists, electrical and biomedical engineers and computer scientists and

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