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Field
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about the intersection of computational science, machine learning
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to sustainable value creation, improved resource utilization and new market opportunities. Where to apply E-mail signe.riemer-sorensen@sintef.no Website https://candidate.hr-manager.net/ApplicationForm
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to rapidly acquire new skills (E) Attributes and Behaviour Ability to analyse and reflect on own performance, seeking advice where necessary (E) Willingness to travel to research sites off Newcastle University
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Research Assistant Professor, Research Associate Professor, Assistant Professor, Associate Professor
Toxicology and other departments and centers at the Brody School of Medicine and East Carolina University. The tenure-track faculty member will also be expected to teach pharmacology and/or toxicology
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100 seminars, workshops, and e-learning courses annually, along with diverse health and sports offerings salary that follows TV-H regulations, with supplementary pension benefits, child allowances, and
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% and annual vacation pay of 8%. High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning
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tackles fundamental challenges in multimodal representation learning by developing novel approaches to align distinct embedding spaces from speech and sign language modalities. Sign languages encode
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or development of machine learning methods, or a desire to learn these skills, are also welcome. We offer the opportunity to work on interesting scientific challenges using modern experimental methods available in
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achievements in the field of physical sciences documented by publications in renowned journals 2. Additional Requirements: 1) statistical analysis of large data sets 2) knowledge of machine learning 3
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for such applications. To respond to these challenges, this project aims to investigate automated decision making based on machine learning. The candidate (H/F) will propose and validate centralized as