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Field
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properties predicted by Virtual-Coater™ can be translated into meaningful input parameters for battery modelling platforms. The ultimate objective is to establish a predictive modelling workflow capable
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Conduct research under PI mentorship. Design, execute, and analyze experiments or studies. Collect, manage, and interpret datasets. Contribute to protocols, manuals, and regulatory documents. Collaborate
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Qualifications PhD Certificates/Credentials/Licenses n/a Computer Skills Microsoft Office Suite Supervisory Responsibilities No Required operation of university owned vehicles No Does this position require direct
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. We conduct translational research aimed at understanding mechanisms of neurodegeneration in in multiple sclerosis (MS) and other inflammatory and neurodegenerative CNS disorders, with a strong emphasis
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and technology to industry and society. Computer vision is one of the most dynamic areas of artificial intelligence, enabling machines to understand and interpret the visual world. At CVC, we combine
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Brigham and Women's Hospital - Department of Dermatology | Boston, Massachusetts | United States | 2 months ago
The Divito Laboratory in the Department of Dermatology at Mass General Brigham, Brigham and Women’s Hospital campus in Boston is seeking an Immunology trained PhD or MD/PhD for an NIH funded post
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Essential PhD in immunology, hematology, molecular biology, stem cell biology, gene therapy, or a related discipline, achieved as at the fund’s start date (September 7, 2026) Strong experience in CAR T-cell
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
infrastructure and opportunities for collaboration among disciplines throughout and beyond our university to support outstanding research. We foster programs in the areas of basic, translational, mechanistic and
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clinical trials in allogeneic hematopoietic stem cell transplantation and CAR-T cell therapy. Through close integration of laboratory and clinical research, we aim to translate mechanistic discoveries
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop