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, and computational models. This PhD position is centered on addressing these challenges through innovative computational methods, combining optical system design, signal processing, machine learning, and
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: Experience with probabilistic graphical models, time series analysis, or deep learning Familiarity with reproducible research practices and open-source collaboration Interest in interdisciplinary applications
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given to candidates with PhD or who are ABD Application Procedures & Deadline Information Please create your candidate profile at https://jobs.illinois.edu . Applications must be received by 6:00pm (CST
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), 9-month, fixed-term Assistant Professor (Teaching) position. Reappointment is at the discretion of the Director. The successful candidate will teach upper-division undergraduate courses in Spanish and
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, • the use of intensive bioinformatics pipelines, • the development of AI and deep learning models, • the analysis of biological images, and • the implementation of large-scale interdisciplinary projects. In
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microbiology. They learn contemporary microbiological, molecular genetic, bioinformatic, biochemical, analytical, and biophysical methods for studying microorganisms. Key research areas include physiological
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. You have: A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Demonstrated ability to conduct high-quality academic
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in image processing and analysis, including deep learning (e.g., CNNs) experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
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Job Purpose The post holder will be based at the Cancer Research UK-Scotland Institute (CRUK-SI) in Glasgow https://www.crukscotlandinstitute.ac.uk/, working with Principal Investigator, Dr Stephen
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PhD student position on development of innovative bifunctional oxygen electrodes for SOC technology.
development of innovative SOC stacks gathering deep knowledge on electrochemical and structural characterization of energy technologies such as fuel cells and electrolyzers. Among the characterization