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willingness to learn and develop; Teamwork approach, good communication and relational skills; Strong orientation to results, determination, flexibility and aptitude for problem-solving. Furthermore
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, machine learning, and bioinformatics tools. Expertise in CRISPR-based assays, especially CRISPR screening, is highly meriting, as is experience with single-cell RNA sequencing or other omics assays
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skills. Candidates must possess excellent communication and interpersonal skills to work effectively in our team, as well as a willingness to learn new methods and techniques as the projects evolve
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. The department has a strong community on related topics: research groups working on digital health and wellbeing , network science , computational social science , and various topics in machine learning. You will
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, fast scanning calorimetry (FSC), small- and wide-angle X-ray scattering (SAXS/WAXS), and synchrotron X-ray techniques is highly desirable. Knowledge of programming and machine learning is also strongly
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, California 95616, United States of America [map ] Subject Areas: Physics / Astronomy , Astrophysics Computational , Machine Learning Salary Range: Starting at $71,491/year or higher depending on experience
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projects aimed at developing resource responsible, economically viable solutions to challenges in the food production and critical material systems. There will be the opportunity to mentor students, teach
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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periods of time, repetitive motion related to computer work. Shift Monday-Friday 8:00am-5:00pm, weekends or evenings may be required by project work. This position is eligible for complete remote work. Job
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research and experimental data in accordance with established protocols. Assist in statistical and comparative analysis of experimental data using appropriate computer software. Contribute to the preparation