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: · PhD or M.D. with a strong background and profound knowledge in the field of either molecular biology, immunology, cancer biology, experience in sequencing or protein structural data analysis is highly
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and synthesis of new materials. You should have a PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical
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PhD graduate in immunology, molecular biology, cell biology, biochemistry, or related fields Strong expertise in innate immunity, cancer immunology, or molecular biology Prior experience with immunology
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, with a strong background in experimental neurobiology, molecular biology, we want to hear from you. Your unique experiences and perspectives are invaluable to our team. Profile PhD in Biology
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of Healthy Ageing as part of Dr. John Labbadia's research group. You will work within a highly collaborative, innovative and passionate team of postdocs and PhD students, with a focus on understanding the
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(where possible) in BioModels and other repositories Generation of synthetic data to represent rare disease patients that can be shared You have A PhD in bioinformatics, physics, or a related data
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research independence. Candidates are expected to have no more than four years of post-PhD research experience. Extensions to this time period will be considered in circumstances that support our commitment
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findings into patents and start-up opportunities. Required Qualifications PhD, MD/PhD. Preference given to applicants with prior experience in any of the following: cancer biology; cell biology (including
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fully remote and encourages independent research. Requirements: PhD in Physics or a closely related field (completed or near completion) Demonstrated potential for impactful research in cosmology, quantum
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informatics experts. Requirements: MD or PhD or equivalent degree in Computer Science, Biomedical Informatics, AI, or related fields. Exceptional publication record demonstrating expertise in AI, particularly