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Field
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for the independent conduct of a significant element of research projects. This includes assistance in study design, IRB submission, data analysis and grant submission. Among the key duties of the position
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A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on Data Science for Construction Productivity. The researcher's responsibilities will include
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achievements in the field of physical sciences documented by publications in renowned journals 2. Additional Requirements: 1) statistical analysis of large data sets 2) knowledge of machine learning 3
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the field of physical sciences documented by publications in renowned international journals, including achievements in elementary particle physics 4) knowledge of issues related to data analysis in the LHC
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that require treatment while reducing unnecessary detection of slow-growing cancers. You will play a key role in a large mixed methods project as a qualitative researcher conducting focus groups, interviews and
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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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: The successful candidate will work primarily on the following sections of the project. Data analysis: In conjunction with Dr. Deborah Maia de Lima and Dr. Claudia Mitchell, the candidate will : 1) Transcribe and
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data integration and etc. * Discuss with the laboratory members in bioinformatics analysis as needed. * Maintaining an active role in research of the current trends in bioinformatics, and using new
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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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. Initial analysis suggests recurrent selection of divergent types in multiple locations. The aim of this role is to complete this analysis and prepare a manuscript for submission for publication