410 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nature Careers in United States
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picturesque small towns--all within close proximity to campus. Candidates should apply through the Rutgers ROCS portal: https://jobs.rutgers.edu/postings/238017 Rutgers is an equal employment opportunity and
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provides a cellular therapy program, which includes the use of viral specific T-cells (VSTs), chimeric antigen receptor (CAR) engineered T-cells and gene therapy products. As a clinical fellow in our Bone
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Project Description: Drug toxicity and resistance are the leading causes of therapeutic failures. The Chen Lab (https://www.stjude.org/research/labs/chen-lab-taosheng.html) studies: (1) the chemical
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decisions are anticipated to be made by April 1st, 2026. Applicants must apply online at: https://www.princeton.edu/acad-positions/position/40521 Applications must be completed by January 31, 2026 at 5:00 PM
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the Center for Pediatric Neurological Disease Research (CPNDR) [ https://www.stjude.org/research/initiatives/pediatric-translational-neuroscience-initiative.html ]. The CPNDR is currently recruiting
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Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
to antibiotics and host-like conditions. • Develop and apply statistical or machine-learning methods for interpreting single-cell and genomic datasets. • Work closely with wet-lab scientists to design perturbation
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methodologies: optogenetics, calcium imaging, viral tracing, tissue clearing, murine behavioral phenotyping, machine-learning behavioral analysis Familiarity with programming languages (e.g. R, Python) and an
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funding, and collaborative culture make it ideally suited to take this bold leap forward. To learn more about the initiative, visit here . About the role: We are seeking a highly motivated Research
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management. Demonstrated experience in one or more applied computational fields: application of modern machine learning methodology, algorithms, computational modeling, finite element analysis, computational
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. This project will involve applying and evaluating statistical and machine learning models for data integration and interpretation. A strong foundation in statistical modeling will be essential for applications