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and hardware. 4. Database development and management using Redcap or similar software. 5. Statistical analysis 6. Scientific writing including grant development and manuscript writing Job Duties Plans
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the molecular mechanisms underlying rare diseases and autoimmune disorders. Through innovative approaches such as gene editing and cell therapy, we aim to develop novel therapeutic strategies to combat
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of network defenders, software developers and vendors, security researchers, AI practitioners, and policymakers. You'll get a chance to work with elite AI and cybersecurity professionals, university faculty
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of Neuroscience at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the non-tenure research track. Expertise is required in the specific area
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of Neurology at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the non-tenure research track. Expertise is required in the specific area
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applications and contribute to the evidence-base behind our innovative training programme, to develop compassionate, resilient healthcare practitioners. About you The ideal candidate will have a Master’s degree
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the mechanisms governing the formation of the brain during embryonic development and in early postnatal life. This is based on the understanding that early experience shapes the way our brain is constructed. While
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, and will be a senior team member in relation to the other members. He/She will develop the research agenda led by Prof. David A. Palmer on the socio-cultural and religious dimensions of the Belt and
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Partnership in collaboration with Hitachi Europe Ltd, developing engineered proteins for carbon upcycling and sustainability. The role holder will collaborate with computational and biological scientists
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. develop their own independent research proposals (e.g., PhD studentships or research fellowship applications). contribute to other research activities as required, e.g., literature reviews, qualitative data