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clinical and regulatory teams to support the transition to first-in-human trials Profile PhD or postgraduate degree with focus in cellular and molecular biology, gene editing, human stem cell biology
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and contribute to a range of exciting collaborative projects and develop new projects. PhD in a relevant field is required. Strong track record of productivity is essential. Experience with biological
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data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy
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researcher interested in studying human-associated microbial communities in health and disease. The ideal candidate has the following qualifications: A PhD degree in bioinformatics, computational biology
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analysis with practically motivated case studies, offering a strong foundation for researchers interested in advancing the mathematical understanding of geometric deep learning. Your Qualifications PhD
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models. A PhD in immunology or cancer biology is required. Candidates should have at least one first-author peer-reviewed publication. Interested individuals should apply by submitting a CV, a one-page
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biosafety level 2 to enhanced biosafety level 3. Minimum Education Candidates should have a recent PhD, DVM, MD/PhD in biomedical sciences with practical experience in immunology (innate and adaptive immune
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quality, especially in AI+X domains, quantum technologies, materials and fabrication, sustainability, healthcare, etc. Possess a PhD in a STEM discipline. No more than 3 years of post-PhD research
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on the Liang lab, please visit: https://www.wistar.org/our-scientists/chengyu-liang/ Recent PhD graduates from related fields with a record of peer-reviewed publications, strong laboratory experience
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to disseminating scientific results to the public and taking part in patients and public involvement and engagement activities; Contributing to MSc and PhD students supervision, as requested and appropriate