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-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programmin g, collaboration
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, methods will include video- and machine-learning supported behavioral studies in mice, mouse genetics, fluorescent imaging, electrophysiology, pharmacological studies of irritant and thermosensory receptors
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Associate The Responsive Apparel Design (RAD) Lab at Cornell University is seeking a highly motivated and talented postdoctoral researcher to join a collaborative As part of Cornell University, a world-class
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Post Doc Associate The Responsive Apparel Design (RAD) Lab at Cornell University is seeking a highly motivated and talented postdoctoral researcher to join a collaborative The Responsive Apparel
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Post Doc Associate The Responsive Apparel Design (RAD) Lab at Cornell University is seeking a highly motivated and talented postdoctoral researcher to join a collaborative team focused on
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Types Using Machine Learning Based on Citizen Science Audio Recordings and Satellite Imagery” (Bio-O-Ton-2). Our overarching goal is to develop and test novel machine-learning approaches for combining
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at developing novel materials with the potential to drive advancements in multiple industries. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality
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we will apply state-of-the-art machine learning and deep learning techniques on open- access and collected datasets to determine how accurately these systems can identify dock plants under Norwegian
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experiences and skills will be emphasized: Desired knowledge/experiences in: Working with diverse remote sensing data Data science topics particularly machine learning and deep learning. High Performance
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to IPCC and IPBES reports, participation to multiple national and European projects, and publications featured in high-ranked scientific journals. Hydrogen and hydrogen-based fuels are expected to play a