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Field
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objects, by embedding them into a 2 or 3-dimensional space through a representation learning algorithm, has been widely used for data exploratory analysis. It is particularly popular in areas such as
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision
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decline. Tissue donors underwent annual cognitive and motor testing ante-mortem and wore wearable sensors prior to death, making this dataset a uniquely rich resource for studying cognitive and motor
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biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis
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project with real clinical potential The Opportunity Are you a highly motivated and technically proficient researcher with expertise in electrochemical sensor development and biomedical engineering? We
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magnetometry measurement and analysis of the Nab spectrometer magnetic fields, help develop the BL3 DAQ and algorithms, carry out Monte Carlo simulations for Nab and BL3, and help undergraduates at EKU finish
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leading work to accelerate aspects of atomic systems miniaturisation to boost sensor capabilities across the range of being developed. FTE:1 Term: Fixed Term (24 months) Applications are invited for a
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device characterization and calibration methods to mitigate these sources of systematic errors. Essential Job Duties Design, engineering, and optimization of imaging sensors and their operating modes
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Chemistry, Engineering Chemistry, Biochemistry, Biotechnology, Nanotechnology, or related fields. - Proven experience in one or more of the following areas: o (Bio)chemical sensors o Electrochemistry o
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sensors. We are looking for talented individuals to join our team and truly make an impact by helping to solve the toughest challenges for our nation's security. The Systems Offices, within the Texas A&M