119 proof-checking-postdoc-computer-science-logic Fellowship positions at Nature Careers
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programme is focused on 1) understanding the biology of paediatric medulloblastoma with a particular focus on the role of myc as an oncogenic driver, 2) exploiting therapeutic vulnerabilities in combination
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ourselves on fostering an inclusive environment where diverse perspectives thrive, and people can feel free to disagree. Utilizing cutting-edge techniques like single-cell analysis, CRISPR technology, stem
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, computer science, or other relevant areas. What matters most is your sincere interest in neuroscience and documented experience from neuroscience courses, neuroscience projects, or similar activities. At the time of
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, life sciences, computational sciences, behavioral sciences, or engineering by October 1, 2025. Applicants who intend to defend their dissertation after October 1, 2025, are not eligible. May not be
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. The development of novel immunologic techniques and applying novel technologies will be included in this effort. Collaboration with pathologists for correlations with tissue imaging and with computational
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the intersection of computer science and drug research, to support strategic focus on the use of AI in scientific research within the general area related to drug security. The position is at
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of gene editing, cellular immunology, CAR T cell and haemopoietic stem cell biology. Ability to design, undertake and analyse experiments independently, evidence of scientific output. Please check JD
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at the intersection of psychology and biology, who thrive in interdisciplinary research environments! Disciplines Biomedicine, life science, health science, psychology, computing Application The application should be
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Sciences will be supporting up to six fellowships based at the I-X Centre for AI in Science . The key evaluation criterion is excellence. Applicants will need to identify an Imperial academic staff member to
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creative Postdoctoral Fellow to join our multidisciplinary team dedicated to investigating the causes and consequences of somatic mutations in cancer. Our lab integrates cutting-edge computational and