224 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Denmark
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- Technical University of Denmark
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Postdoc who, in addition to the desired expertise stated above, have the following skills and qualifications: A PhD degree in bioinformatics, machine learning, computational biology, statistical genetics
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algorithms for speech enhancement using state-of-the-art machine learning techniques. You will design and evaluate models that leverage phoneme-level or discrete speech representations and conduct experiments
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qualifications at PhD level. How to apply Your application must include the following: Application, stating reasons for applying, qualifications in relation to the position, and intentions and visions
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, modelling and machine learning to improve defect detection, classification and power loss simulations. Benchmarking field-acquired images with laboratory measurements. Publishing results in leading journals
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competencies The applicant must hold a master’s degree in engineering and a PhD in a relevant field, such as electrical engineering, with expertise in physics-based modeling, machine learning, and optimization
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-efficient magnetic heating/cooling device. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol
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programs in Biology with about 400 students enrolled as well as a PhD program. The Department offers a vibrant and informal research environment with a long-standing tradition for collaboration with
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academic or industry leadership roles. Your profile Applicants should hold a PhD in Computer Science, Electrical Engineering, Computer Engineering, Telecommunications, or a similar field, with a strong
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Programme. We are looking for a candidate with demonstrated experience in both (i) mathematical and/or computational modelling of bacteriophage systems, and (ii) experimental research on bacteria and / or
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, experimental and computational methods to study the physiology of microbes. You will work in a team contributing to projects of other team members, while independently developing your own project. You will also