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programming. Advanced Computer Science major teaching could include courses in areas such as machine learning, computer security, and software engineering, among others. Graduate level teaching could include
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of PhD students and other lab members Keen interest in presenting scientific work at both national and international meetings, as well as to the public, and to talk to patients We welcome candidates who
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IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences) | Czech | about 2 months ago
bioinformatics or molecular biology position. We're looking for someone genuinely excited by the intersection of structural/molecular biology, physics-based simulation, and machine learning/deep learning – a
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to understand how complex biological functions emerge from interactions between individual cells. Where to apply Website https://www.academictransfer.com/en/jobs/362789/phd-learning-interactions-in-co
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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an advantage: plasma surface functionalization; electrode/electrolyte interfaces; battery degradation modelling; microstructure-resolved modelling; tomography or image-based electrode modelling; machine learning
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, multisensory integration, or visual perception) using data analysis and machine learning techniques. Implement XR prototypes and applications to validate the developed models. Contribute to the publication
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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Engineering College of Engineering Position Overview The Department of Electrical and Computer Engineering is accepting applications for a full-time Lecturer appointment to teach undergraduate and/or graduate
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advances quantitative and/or computational methods in psychological science. Areas of interest include (but are not limited to): psychometrics, computational modeling, machine learning and artificial