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Field
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multiple sub-arrays. In particular, developing methods for compensation of non-ideal system components and synchronization. Developed methods can be experimentally verified and tested on the Large
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. We have multiple NIH-funded projects to study the influence of FDA-approved GLP-1R agonists on drug seeking and reinstatement in rodents. A newly funded NIH R01 has the goal to determine who may be
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the use of programming languages such as R and python; Experience in analysing large and complicated datasets, preferably including geospatial data; Experience in, or strong affinity with, mechanistic and
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national leader in clinical laboratory services, research, and education, bringing together over 300 faculty and 1,400 staff across multiple clinical and research sites. · 1.0 FTE · The base
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they link to C cycling process; Excellent computational, analytical and statistical skills, including proficiency in the use of programming languages such as R and python; Experience in analysing large and
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candidate will lead computational lab analysis work across multiple projects, largely focussing on the perturbation of skeletal muscle cells (myofibres) during periods of environmental and/or genetic
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engineering skills—Python, Git, unit testing, experiment tracking—and fluency with containerization (Docker) and basic cloud workflows are expected, alongside excellent communication and cross-disciplinary
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of biodiversity represent three of today’s major societal challenges. Finding solutions for all these challenges requires studies that extend across multiple scales. The Pioneer Center Land-CRAFT was established in
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experience in scientific data visualization, AI/ML, or a related field. Proficiency in the Python and C++ programming languages. Preferred Qualifications: Strong publication record with publications in
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across molecular biology, ecology, bioinformatics, and environmental science. The taxonomic scope is broad and inclusive: we aim to collect comprehensive data across multiple taxonomic groups to support a