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and C++ programming language. Special consideration will be given to candidates who are familiar with the open-source finite element library FeNiCS, brain finite element modeling, medical image
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quantification of radioactive complexes. As a member of our research team, you will take a leading role in the design, synthesis, characterization, and evaluation of novel chelation platforms for medically
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), primary cell culture from patient bone marrow/peripheral blood samples, PBMC isolation (density gradient centrifugation, e.g., Ficoll-Paque), and Bone marrow mononuclear cell isolation and processing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services
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development of machine learning tools and their applications to medical imaging. Key Responsibilities: The Post Doctoral Associate will apply their technical skills toward the development, implementation, and
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The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This position is designed for an individual with a PhD in Neuroscience and experience in
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We welcome applicants with a PhD in neuroscience, cancer biology, cell biology, molecular biology, bioengineering, or a related field, together with excellent written and spoken English skills. We
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qualifications at PhD level, in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, i.e. in CT-imaging and
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microbial ecology with cultivation approaches. Additional work will include imaging-based physiology, molecular and multi-omic workflows, and quantitative and computational analyses of microbial communities