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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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photodetectors, including thin-film processing and structure–property optimization. In close collaboration with device researchers, you will iteratively improve OPD performance and stability by linking material
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Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50410 Requirements Research FieldPharmacological sciencesEducation LevelPhD or equivalent Skills/Qualifications Graduate in Pharmacy
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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research utilizing information networks. We focus on maximizing researcher's performances by ensuring efficient network utilization and system/application optimization. Leveraging insights from our
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an agile co-design and co-development process across NumPEx and with the CSE application community. The Exa-DI and the Exa-SofT projects are looking for a highly motivated candidate with a strong background
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and optimization of metasurfaces exhibiting tailored spectral responses at selected near-infrared wavelengths • Development of angularly robust optical functionalities over wide ranges of incidence
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in AI. We expect an excellent publication record in areas such as automated planning, machine learning, logic or combinatorial optimization. Furthermore, candidates should have very good programming
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Processes Analyze routing, storage, and loading flows. Identify optimization levers to reduce costs and lead times. Develop strategies and risk management models to enhance the system’s resilience against
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Research Scholarship of Post-Doctoral Research for the scientific area of Chemistry - IST/2025/BL103
Conjugates for Targeted Chemotherapy and Radiotherapy Duration: 12 months Maximum Duration Including Renewals: 24 months Objectives Design and synthesize optimized FAP binding proteins possessing varying