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or commensurate with experience Type of Position Student Position Time Status Full-Time Required Education PhD or MD Required Related Experience Biomedical Sciences Required License/Registration/Certification NA
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31 September 2028) in association with a new Faraday Institution-funded project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT)”. You will have a PhD (or be
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, on the technologies and workflows of the Biosolutions Development Pipeline. Teaching will align with your area of expertise. We further expect you to contribute to supervising student projects at the BSc, MSc, and PhD
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, the Associate will assist with research and development projects in the areas of robotics, machine learning, control systems, and/or computer vision. They will be responsible for: designing and analyzing
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. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area * An excellent theoretical and
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/PhD who will train for a career as a scientific professional. Job Duties Plans, directs and conducts specialized and advanced research experiments. Evaluates and analyzes data. Establishes new research
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in bioinformatics, computational biology, or a related discipline * Extensive experience and
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expected to teach relevant courses at the bachelor’s and master’s levels with supervision from colleagues. Lastly, you will be advising students at all levels, including Master and PhD students
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following skills and experience: Essential criteria A PhD in Cell or Molecular Biology, Immunology or a related subject * Experience of mammalian cell culture (both primary and cell lines) Excellent knowledge
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into human biology and may in the future lead to improved understanding of infertility and placenta-related complications of pregnancy. Applicants must hold a PhD in cell, developmental or reproductive biology