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informatics and signal processing. Experience with large volumes of physiological and temporal medical data and time series analytics are essential. Strong programming skills in Python and modern machine
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-specific characterizations. The scholar will have the opportunity to collaborate with a diverse team of experts and build an independent research program in seismology, with research activities leading
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit
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the time elapsed since the doctoral degree was completed. Very good written and spoken English and very good knowledge of languages relevant to the proposed research project. Assessment criteria Good ability
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includes: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred
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clear written and spoken English. Must successfully complete a background check; a pre-employment physical and drug screen may be required. Additional Information: Why OSUCCC – James? The OSUCCC – James
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measurements in animals and programming with Python/Matlab is a meritorious achievement. Documented experience with calcium imaging and/or optogenetics, as well as behavioral measurements is particularly
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evaluate the importance of structuring the foods of the future. A high level of verbal and written communication in English; Practical abilities to carry out experimental research, and excited to develop new
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Ireland Centre for Data Analytics, based at the School of Computer Science & IT, University College Cork, Ireland and the School of English and Digital Humanities. This position is highly interdisciplinary
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qualitative interview studies, surveys, register data, or experiments. The teaching of the department is very diverse across programs and areas and largely falls within the four research areas of the department