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knowledge: Required: Previous experience in a research group Skilled in data analysis Passionate, proactive, willing to learn and committed Good marks and/or authorship in publications Desired: Expertise in
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Northumbria Values, co-created by our team, define who we are: Academic Excellence, Innovation, Inclusivity, Collaboration, and Ambition. Our Behaviours shape our work culture: We listen and learn, support one
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temporal environmental analyses. The candidate is expected to prove good spoken and written English skills enabling to write scientific publications, present at scientific conferences and to teach classes
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the field of number theory. The successful candidates are expected to participate in a research grant project and teach on average two hours per week. Application Instructions Upload the application and the
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candidate will play a key role in designing and implementing innovative solutions at the intersection of sensor data collection, machine learning, and real-time decision-making. Specifically, the candidate
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University of Montreal-CHU Sainte Justine Children's Hospital Research Center | Canada | 2 months ago
Project OverviewSpeech and language disorders affect millions of children worldwide, limiting communication and quality of life. This PhD project will explore the use of Reinforcement Learning (RL
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or Cloud computing and machine learning techniques? You stand out from your peers because of strong commitment and independent work? You are a team player and communicative (excellent oral and written
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Strong motivation to learn new methods and work independently, and as part of the team. Prior experience in one or several of the following: protein biochemistry, cell culture techniques, fluorescence
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Machine Learning. Work plan: Review of the state of the art on Evolutionary Algorithms and image tampering detection; Implementation of an evolutionary algorithm for image tampering detection
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sustainable research agenda; Teach assigned undergraduate or postgraduate courses each semester on communication theory or relevant research methods and analytical tools (e.g., R, SPSS, Mplus, NVivo, SNA, etc