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. Eligibility criteria We are looking for a highly motivated PhD candidate who meets the following profile: Candidates must hold a Master’s degree in electrical or computer engineering (or a closely related field
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Adaptive Learning in Brain-Robot Interactions School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year
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Artificial intelligence and machine learning methods for model discovery in the social sciences School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Robin Purshouse
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Description We are seeking a motivated new PhD candidate who wants to join an exciting collaborative research program within the VIB-Center for Inflammation Research between the Guilliams, Saelens
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conducted in collaboration between Linköping University (LiU) and Lund University (LU). Read more here: https://elliit.se/project/machine-learning-for-sensing-in-distributed-wireless-systems/ Distributed MIMO
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Research Infrastructure? No Offer Description Based at Australian Institute Machine Learning (AMIL), City East Campus 2 x Full-time, 2-year fixed term contracts Salary Range: $114,917 - $135,932 per annum
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The information for the PhD admission is available at TalTech´s web-page: https://taltech.ee/en/phd-admission The following application documents should be sent to francesco.deluca@taltech.ee CV Motivation letter
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or Full Professor with an MD, PhD, DVM or equivalent degree. The preferred areas of Virology research include: i) basic and molecular virology, ii) Virus-host interactions and iii) Molecular mechanisms
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Reflectometry The aim of the PhD project is to provide machine learning (ML) based neutron reflectometry (NR) analysis as an automatized workflow for the reflectometry instruments at the Institut Laue-Langevin
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. Where to apply Website https://www.academictransfer.com/en/jobs/359558/phd-in-addressing-rebound-effec… Requirements Specific Requirements A Master’s degree in Interaction Design or closely related