57 data-"https:" "https:" "https:" "https:" "https:" "I.E" Postdoctoral positions in United States
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, data acquisition hardware. Data Acquisition: Execute complex experiments involving high-bandwidth electrical measurements and advanced microscopy imaging (i.e., AFM and SEM) Signal Processing: Develop
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
to reside within a reasonable commuting distance of their assigned duty station. The Data-Driven EnviroLab (DDL) is an interdisciplinary and international research initiative based at UNC's IE that is
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consortium, and the Agile BioFoundry. https://bioesep.org/ http://bottle.org/ https://agilebiofoundry.org/ This position will work with a dynamic, multi-disciplinary experimental team and analysis will be
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Requisition Details GENERAL REQUISITION INFORMATION EEO Statement: UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals
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. Candidates who are currently affiliated with Princeton University are eligible to apply as long as the preceding criterion has been met (i.e. less than 2 years of post-PhD experience.). Application
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computational experiments designed by mathematicians on the team • Interface with mathematicians and applied computer scientists to demonstrate the viability of novel neural networks on challenging benchmark
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required (contact information only) Apply link: https://aprecruit.berkeley.edu/JPF05249 Help contact: jspitzer@berkeley.edu About UC Berkeley UC Berkeley is committed to diversity, equity, inclusion, and
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of organic contaminants. Our research group blends environmental analytical chemistry and chemical biology to study environmental and biological (i.e., toxicokinetics) fate of organic contaminants. Much of our
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practices that promote the excellence of your research, and areas for future research. Reference requirements 3 required (contact information only) Apply link: https://aprecruit.berkeley.edu/JPF05182 Help
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of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would be able to systematically integrate biomedical/biological knowledge to improve