77 software-formal-method-phd Postdoctoral positions at Nature Careers in United States
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be highly encouraged and supported. Minimum Education and/or Training: Requires a PhD degree in biomedical research and bioinformatics data analysis training Special Skills, Knowledge, and Abilities
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computational methods to analyze clinical data and samples, exploring how respiratory viruses and vaccines influence the development of immune responses. Respiratory infections, such as RSV, are the leading cause
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, biomedical engineering, or a related field. • Experience with coding software such as Python, R, or Matlab. • Familiarity with collaborative coding software such as GitHub and database management
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currently being developed. The section will serve as a central competence centre for data science and data-driven methods for Earth system sciences. Your responsibilities: Develop data-driven methods
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and/or Training: A doctoral degree (PhD, MD, or equivalent) in a relevant field. Special Skills, Knowledge, and Abilities: Required: Candidates must hold a doctoral degree (PhD, MD, or equivalent
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, and a cover letter explaining career and scientific training goals. Minimum education requirements: PhD with an experience in mouse genetics or stem cell culturing. St. Jude Children's Research Hospital
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qualifications: PhD or equivalent degree in genetics, epidemiology, biostatistics, bioinformatics, or a related quantitative field Strong publication record Strong research interests in genetic epidemiology
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of Excellence for Leukemia Studies with access to cutting-edge technology and resources. The successful candidate will ideally have a PhD (or will obtain a PhD) with a focus on molecular biology, cancer
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://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi-modal single-cell, spatial and genome editing
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(molecular) phenotyping methods to screen transcriptional activity of synthetic promoters in planta. You will unravel the cis-regulatory code controlling context-dependent gene expression and use