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Field
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: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. PhD degree in life sciences such as Cancer Biology, Immunology, cell biology, molecular biology or related field (PhD
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departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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. It is essential that you hold a PhD/DPhil with clear relation to biology together with relevant research experience in academia or industry. You will have experience with cancer genomics, including
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Criteria: Qualifications A good first degree in Biological or Biomedical Sciences or a related subject. A PhD (or be close to submission) in Genetics, Cell or Developmental Biology or a related subject
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Advantage . Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. A minimum of a PhD in relevant scientific area such as Physiology, Molecular Biology and
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clinicians at Stanford University as well as other institutions. Required Qualifications: Candidates must have a PhD or MD/PhD with expertise in immunology, cell, molecular, or developmental biology, and past
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Two year postdoc position at Aarhus University for single molecule FRET based investigations of l...
be assisted by staff scientists with expertise in complement biology, integrin biology, cell culture, and single molecule spectroscopy. Qualifications The applicant should have a background and a PhD
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experience in working with human neuronal cell lines that provide models of understanding the biology of protein aggregation and its phenotypes. About you Applicants must hold a PhD in Chemistry or a relevant
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Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins for Healthcare. The Research Department