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Power BI Programming: R, Python, and/or SAS for Statistics Excellent communication skills Demonstrated successful experience working directly with people from diverse backgrounds, including cultural
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. Responsibilities Analysis of activations maps in mouse brains, primarily using R free-source library. Develop computer codes, primarily using ImageJ and Python, to implement algorithms for characterizing brain maps
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languages, Matlab, C++ or Python For additional information, please contact Dr. Michael Meyer (michael.meyer@xfel.eu ). Working place will be Schenefeld, in the Hamburg metropolitan area. General information
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estimation (MHE). • Experience with feature extraction or direct methods under low-texture or low-SNR conditions is a plus. • Proficient in C++ or Python; experience with ROS and real-time robotic
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real-time perception systems and deployment on robotic platforms. • Proficient in C++ or Python; experience with ROS and robotic middleware. • Familiar with UAV systems (e.g., PX4), and simulation
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of Excel (i.e., pivot tables, formulas, Power Query, etc.). Familiarity with data visualization tools (i.e., Microsoft Power BI, Tableau, Cognos) as well as experience with programmable software (R, Python
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
knowledge to the field regarding how neurons and circuits give rise to thoughts and behaviors. Job Requirements REQUIRED: High School diploma; familiarity with coding (Python or Julia); strong debugging
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Python. Experience in the analysis of metabolomics, spatial omics, or other biomedical datasets is preferred. Interest in cardiovascular biology, metabolic disorders, translational medicine, or biomarker
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, or high-dimensional data analysis. Prior experience in data analysis, statistical programming, machine learning, or computational research is preferred. Proficiency in R, Python, or similar programming
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, differential equations, integral calculus, probability theory, numerics) Proficiency in programming with Python (in-depth understanding of programming concepts, native Python and efficient use of libraries