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admission to municipal museums – annual special payment – collectively agreed vacation entitlement – company pension plan (ZVK) Senckenberg is committed to diversity. We benefit from the different expertise
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with a background in cognitive psychology, data science or computer science and a willingness to develop skills in computational models of cognitive processes, statistical methods, and programming (R
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skills. Main duties will include: conduct tissue-mechanical and imaging experiments using early avian embryos; acquire and process data; prepare reagents and samples; optimise protocols; program and debug
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Pathogenesis in the age of the microbiome (MICRO-PATH; https://micro-path.uni.lu ) is a highly competitive, interdisciplinary, research-intensive PhD training programme, supported by the PRIDE
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the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
prestigious universities, and the USC Leonard Davis School of Gerontology features one of the worlds best degree and research programs in gerontology. The USC Leonard Davis School of Gerontology has
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interneuron-associated brain disorders. Therefore, the Research Assistant will contribute to the lab’s research program by determining functionalities of cortical interneurons in health and disease and develop
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more than 25,000 students - 85% of whom are Hispanic and half of whom are the first in their families to attend college. UTEP offers 171 bachelor's, master's and doctoral degree programs at the only open
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Assistant (one month) will ensure participant compliance with study procedures. Under the direction of the PI and Program Coordinator, perform research-related administrative support tasks, including research
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proficiency in relevant programming languages (e.g., Python, C++) and tools such as ROS. Experience in simulation and digital twins, as well as the use of synthetic data for training machine learning models, is