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computer science Communicate and work with governmental stakeholders, analytics vendors, and financial institutions to gather requirements, obtain datasets, and validate results Manage research projects and
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Postdoctoral researcher in Environmental Analytical Chemistry, with a focus on non-target screeni...
the field of environmental analytical chemistry and will focus on technical and conceptual developments in non-target screening, primarily of per- and polyfluoroalkyl substances (PFAS). Building on previous
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the following areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine
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, including nano-analytics, plasma and vapor deposition, optical diagnostics, and data-driven materials science. Our multidisciplinary team leverages cutting-edge expertise in charged particle optics, particle
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animal experimentation and human subjects within epidemiological studies. The laboratory is equipped with up-to-date analytical equipment mainly consisting of CG-MS/MS and UHPLC-MS/MS. The successful
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-analytic review and to the evaluation of interventions, working closely with the research team to advance knowledge on evidence-based solutions. You will support the development of a research environment
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-established analytical pipelines, and deep genomic analysis expertise, St. Jude offers a work environment where you will impact the future care of pediatric cancer patients. As a Postdoctoral Research Associate
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functional genomics approaches and omics data analyses. Expertise and interest in gene-regulatory mechanisms. Motivation and strong analytical and organizational skills. Strong communication and collaborative
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, scientific curiosity, problem-solving skills, and independent initiative Strong analytical skills and proficiency in written and spoken English Nice to have: Bioinformatic analysis experience (e.g., single
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structured biomedical data; Strong quantitative and analytical skills applied to observational or clinical datasets, and familiarity with techniques for representation learning and sequence modeling; A track