70 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1
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sponsorship is not available for this position Based at our St Lucia Campus - Brisbane About This Opportunity We are seeking a proactive Teaching and Learning Enhancement Officer to support our Faculty’s
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Cryogenic cooling of hollow conductors for highly power-dense electric machines (S3.5-AMR-Winter) Advanced Manufacturing Research Centre PhD Research Project Competition Funded Students Worldwide Dr
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biology, engineering, biophysics, computer science) and experience in 3D imaging of brain tissue, image segmentation, and handling large datasets. You are comfortable with machine learning and image
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machine learning (ML) along with data from previously solved problem instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In
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Applications are invited for the post of Teaching, Learning and Student Experience Support Assistant, within the Student Support and Development team in the School of Arts, Languages and Cultures
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Prior teaching experience Admission Requirements Completed master's or diploma degree in Computer Science or equivalent fields of study with a focus on Data Visualization or Human–Computer Interaction
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem
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. The project integrates synthetic organic chemistry, kinetic analysis, automation, and machine learning to establish next-generation mechanistic workflows for asymmetric organocatalysis. The project advances
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to acquire different kinds of images on large numbers of iPS cells in culture; machine learning algorithms and other image analysis strategies may be used to extract and test image features as predictors