72 Engineering-"https:" "https:" "https:" "UCL" Postdoctoral positions at Nature Careers in United States
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Simmons Comprehensive Cancer Center at UT Southwestern Medical Center to study cancer immunology and immune engineering. Our laboratory has several exciting projects related to cutting-edge molecular
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for the technology, including brainstorming and literature review. Coordinate with biopharma partners to streamline development and promote industry adoption. Participate in grant writing to secure project funding
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gained to improve the sustainability of agriculture and the climate change resilience of crops. The Maere lab at PSB ( http://www.maerelab.be ) is active in the fields of computational biology
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about the PI’s research, please visit http://yanglab.me . The University of Chicago is a global leader in biomedical research and offers unique opportunities for multidisciplinary collaboration
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with experimentalists to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers
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Simmons Comprehensive Cancer Center at UT Southwestern Medical Center to study cancer immunology and immune engineering. Our laboratory combines cutting-edge genomic approaches with functional immunology
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The Photonics and Optomechanics Group at the National Institute of Standards and Technology (NIST) in Gaithersburg, MD, USA is seeking multiple postdoctoral scholars to carry out research in
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renewable on a yearly basis, with extensions up to 5 years total. The NIH offers a competitive salary (based on postdoctoral experience, see stipend tables: https://www.training.nih.gov/stipends/ ) and
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: https://obgyn.uchicago.edu/research/griffith-laboratory Required Qualifications: Qualifications needed for this position include a PhD in clinical psychology or a related field, such as psychology
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https