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Field
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technologies like Azure Data Explorer (ADX), PostgreSQL, MongoDB, and data driven machine learning tools such as Spark, Power BI. Experience with optimisation, simulation and data analysis tools such as Matlab
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Postdoctoral Research Fellow - Michor Lab Dana-Farber Cancer Institute Boston, MA Full Time The lab of Prof. Franziska Michor, PhD at the Dana-Farber Cancer Institute (Department of Data Science
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data integration and analysis Integrate phylogenomic and functional data using machine-learning approaches for candidate gene prioritisation Contribute to software and web-tool development Present
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. Click to see the full job description Click to find out more about the F Rouhani Lab About you Essential: (Minimum criteria*) PhD (or near submission) in computational biology, machine learning
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Sensing (DAS) data processing and compression using ML Physics-driven machine learning for geophysical modeling and inversion Thus, the candidate is expected to have or about to have a PhD in a relevant
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for Optimisation and Machine Learning (QONOMics) project sits at the heart of this expansion. The project focuses on the physics of networks consisting of coupled harmonic and Kerr-nonlinear oscillators. By studying
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, quantitative characterization, and machine learning-enabled decision-making. The position is associated with the recently awarded ERC Consolidator Grant project “Engineering Multivalency for Superselective
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and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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expected to contribute to theme (1), broadly construed. More general themes of interest and expertise in the group (currently comprising 2 PhD students and 2 postdocs) include causal reasoning and inference
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CW and pulsed laser systems, spectrometers, high-resolution cameras, and delicate optical components are desirable Expertise in advanced data analysis techniques (Machine learning and Deep learning