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• Experience in molecular biology techniques • Experience in computational data analysis and scientific programming (Python, R, MATLAB) • Experience in connectome analysis • Experience in molecular dynamics
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Python, Java, Stan, or BUGS or interfacing R with C/C++), simulation studies, real data analysis, and writing manuscripts. Duration: This appointment is for 1-2 years, with a possible extension to year 3
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serious games for research is considered an advantage. Experience or training in programming languages (e.g., R or Python) for data-analysis and willingness to develop these skills is considered
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Reality (VR) environments is also considered beneficial. Experience or training in programming languages (e.g., R or Python) for data-analysis and willingness to develop these skills is considered
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C, Python, MATLAB, or similar programming languages. Experience in scientific writing and academic publishing Students in the final year of their master's programme are also welcome to apply, provided
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to design and operate catalytic and/or electrocatalytic reactors Ability to synthesize and characterize materials Ability to model and analyze process performance Proficiency in Python or an equivalent
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reactors Ability to synthesize and characterize catalysts Proficiency in Python programming Ability to apply machine-learning methods to scientific data Ability to work independently and across disciplines
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integration and trajectory inference Proficiency in Python and/or R Interest in developmental and human biology is highly valued, but not required Strong collaborative mindset and ability to work across
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 24 hours ago
software. Through this project, the participant will learn how to: (1) conduct research for full-stack production system that includes Python/FastAPI, MongoDB, and a TypeScript/React client; (2) apply AI and
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-seq Hi-C Micro-C RCMC Organoid culture systems Mouse models Flow cytometry DNA damage and repair assays Computational genomics and bioinformatics Programming and analytical tools such as: R Python