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preparation for sequencing) Work with state-of-the-art microarray and imaging systems. Analyze experimental data statistically and contribute to method development and troubleshooting. Ideal Applicants Must
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Prof L Carlin & Prof E Roberts Senior Scientific Officer- Flow cytometry and cell processing technician Salary: From £28,344 to £33,000 based on qualification and experience. Contract: Permanent
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deployments Collaborate with researchers on AutoRubric integration for automated LLM-as-judge evaluation of claim assessments Conform to DARPA's testing and evaluation framework Collaborate with postdocs and
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Tenure Track in Sensory and Consumer Science at Department of Food Science, Aarhus University, De...
aligned to the Science Team ‘Food Quality Perception and Society’ (FQS) at the Department of Food Science http://food.au.dk/en/foodresearch/science- teams/food-quality-perception-society/. The Science Team
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research. The university is fully committed to and make use of national molecular bioscience infrastructures, including SciLifeLab platforms for genomics, proteomics, imaging, bioinformatics, and high
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, and staff with engineering design, modification, prototype and process development, analysis procedures, and other engineering solutions. Performs failure analysis, optimization studies and other
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mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
-Chapel Hill faculty, postdocs, and graduate students routinely interact with colleagues at nearby Duke and North Carolina State Universities, and institutions in the Research Triangle Park. The quality
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Primary Work Address: Dept. of Genetics, Boston, MA, 02115 Current HHMI Employees, click here to apply via your Workday account. About the Lab: The Walter Laboratory (https://walter.hms.harvard.edu
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experience in scientific computing and software development; familiarity with C++ and Linux environments is an advantage Strong background in deep learning for image analysis / computer vision, ideally