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), Deep Neural Networks. Probabilistic Machine Learning and Time-series Analysis. Industrial applications of AI (energy, process industry, automation). Software development experience in teams. Programming
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ideally includes past or present projects centered on machine learning analysis of chemical or biochemical data, especially relating to structural biology. Ample experience with Python programming is
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and utility systems necessary for their operation (e.g., electrical, water, telecom., transport networks); perform an integrated multi-hazard fragility and vulnerability analysis of CI using different
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for listening and reading. Experience in working with human participants, strong technical skills, and experience with data and statistical analysis. Experience in neurostimulation (e.g. transcranial magnetic
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equivalent in ecology or a related field Familiarity with concepts in species distribution, macroecology, climate change ecology, or biogeography Experience with statistical analysis and ecological data
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, patch clamp recording, confocal microscopy, calcium imaging and other biochemical analysis (western blot, ELISA, etc.). Ability to work independently and collaboratively in a team environment Excellent
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of Health & Public Servic Department: UNT-Behavior Analysis-135320 Job Location: Denton Salary: $22.90 per hour FTE: .48 Retirement Eligibility: Not Retirement Eligible About Us - Values Overview: Welcome
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
real-time analysis of electrochemical processes, developed in the Department of Electrocatalysis, will be applied by You to discover and develop novel Organic Electrosynthetic Protocols. Your tasks
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core facilities. These shared resources enable high-resolution, high-throughput analysis of tissue samples from both mouse models and human cohorts. Our lab culture is centered on intellectual curiosity
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transcriptomics, and large-scale transcriptomic data analysis. In addition, the candidate should have experience in using mouse tools to study conserved mechanisms in mice. Finally, a deep understanding of the