90 phd-image-processing Postdoctoral research jobs at Conservatorio di Musica "Santa Cecilia"
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Experience with imaging data processing, anatomical or functional registration, and 3D planning/reconstruction for recording trajectories Required Application Materials: CV One-page statement of interest
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for Geographic Information and Analysis (NCGIA). Qualifications Basic qualifications (required at time of application) Applicants must have completed all requirements for a PhD Degree in Geography or a related
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available immediately in the Molecular Imaging Program at Stanford (MIPS). The successful candidates will join a dynamic research group focusing on the development of peptide-based therapeutics and
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biochemistry and biophysics directed at the discovery and development of new antibacterial therapeutics targeting difficult-to-treat bacteria. More broadly and coupled to drug discovery, we define the molecular
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work directly with Alexander Vezeridis, MD, PhD, on active projects and will have the opportunity to contribute to project design and direction. This position is ideal for researchers looking to deepen
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. Required Qualifications: PhD or MD/PhD in a field(s) relevant to functional neuroimaging and neuroimaging data analysis. High-level experience with functional magnetic resonance imaging, spanning resting
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as July 1, 2026 but no later than September 1, 2026. PhD must be in hand before to employment can begin. Position duration: Maximum Duration of Service in a Postdoctoral Title: Postdoctoral Scholar
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inform IEI and immune dysregulation diagnosis and therapeutic strategies. Required Qualifications: PhD in immunology, microbial pathogenesis, cellular biology, or related scientific field Proficiency in
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a PhD in the field of molecular and cellular cancer biology, relevant publications, curiosity for science and innovative thinking, and high fluency in English. Experience with mammalian cell culture
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. Investigate polypharmacy and multimorbidity in newly diagnosed patients with autoimmune rheumatic diseases. Contribute to studies utilizing natural language processing (NLP) to assess patient self-management