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. Explainable Artificial Intelligence (XAI) has thus emerged to develop methods for explaining AI decisions. However, popular agnostic approaches suffer from major limitations: instability of explanations in
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, materials science, electrochemical sensor development, data analysis, scientific documentation, effective communication, collaborative teamwork, and the full process of research article writing and submission
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– In the evaluation of the interview, candidates' performance will be assessed according to the following weights and criteria: - Criterion 1: Proficiency in developing web applications - Criterion 2
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bioinformatics such as Python, R, EdgeR, Cytoscape, ggtree, etc., as well as courses in data visualization and web development will be considered. At least 2 publications as first author and more than half a dozen
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University of California, Los Angeles | Los Angeles, California | United States | about 21 hours ago
will develop grant proposals in collaboration with Project Directors and Senior Director of Operations & Administration, develop research instrument;, manage and delegate implementation of data
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- QKD, under the scope of a term contract, with a termination date undetermined, overseen by Portuguese Labour Code. Job description: Development of scientific research activities within the research
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replicate the sensory and functional qualities of natural seafood. This PhD project is expected to develop technology for cultivated seafood, by selecting the optimal cell source, developing a continuous cell
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://web.ub.edu/en/web/estudis/w/doctorat-hdk0w LanguagesENGLISHLevelExcellent Research FieldChemistryEngineeringYears of Research Experience1 - 4 Additional Information Benefits A full-time work contract (37.5 hrs
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interested in artificial intelligence and machine learning, and do you want to develop new mathematics with a positive impact? The stochastics group of the Korteweg-de Vries Institute for Mathematics
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Sheva, Israel) and Prof. Dr. Daniele Leonori (RWTH Aachen, Germany). The CATALOOP network aims at the development of powerful and readily applicable workflows for data-driven development