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Field
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in the lab and is expected to foster the development of junior lab members. Qualifications Required Qualifications: The ideal candidate will have a PhD in microbiology, biochemistry, bioinformatics
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imaging pipelines, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists
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vulnerability or survival during neurodegenerative conditions in vivo. Responsibilities of the postdoc will include, but are not limited to: in vivo imaging of biosensors to read out diversity and dynamics
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Centre in the Denmark Hill Campus. The applicant should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or a related area (or pending results). They should have good analytical and
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at scientific conferences. Required Qualifications: Education: Required: PhD or MD (or equivalent experience) in medical sciences, molecular biology, cell biology, or related field. Work Experience: Required
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
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 that support
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, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists. We work
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physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
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data and clinical information. Applicants must hold (or be close to completing) a PhD in a relevant field and have expertise in modern computer vision and AI research. Experience with biomedical data
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering