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multiyear appointment, reviewed annually. ROLE of the POSITION Design and execute experiments using molecular and cell biology techniques Process human biological samples, including isolation of cells from
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for analytical processing, such as data lakes, data warehouses, and lakehouses. Desirable requirements - Experience in developing and implementing data platforms; - Knowledge of data engineering tools and
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/ Bioinformatician to join our collaborative, multidisciplinary research team applying single-cell methodologies to study treatment resistance in ovarian cancer. Vähärautio lab (https://vaharautiolab.org
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, material and energy balances, and process performance metrics Demonstrated ability to communicate well in a team environment Excellent written and oral communication skills Preferred Qualifications
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and we drive the translation of this strong basic
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leading machine learning and/or computer vision venues; Excellent programming skills, particularly in Python and PyTorch; Excellent written and oral communication skills in English; The ability to conduct
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peer-reviewed publications. ▪ Strong experimental skills in microbiology and molecular microbiology. ▪ Excellent written and oral communication skills in English. ▪ The ability to work independently
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 5 hours ago
as appropriate. Develop reproducible computational workflows for processing, analyzing, and visualizing multidimensional ocean and environmental data. Manuscript Preparation and Grant Reporting – 10
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language of MePhiS is English, and excellent written and oral communication skills in English are required. When assessing applicants’ qualifications, attention will be paid to international academic
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hybrid work affects innovation processes, collaboration patterns, knowledge sharing, creativity, and collective problem-solving in software-intensive organizations. Designing and conducting empirical