14 digital-image-processing-phd-scholarship Postdoctoral positions at KTH Royal Institute of Technology in Sweden
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the development of hyperspectral 3D electric field imaging techniques in the THz spectral range, utilizing ultrashort lasers and nonlinear optical methods. The work will be conducted at KTH Laser Lab research
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Description Job description The postdoctoral researcher will be part of the EU project “Digitising Smell: From Natural Statistics of Olfactory Perceptual Space to Digital Transmission of Odors.” The project
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of speech, gesture and facial expressions. Yet most systems treat these modalities as separate. In the BodyTalk project we take a holistic approach to simultaneous synthesis of human communication
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, electrification of heat, and energy storage are deemed. We aim to design and prototype different technologies, including low and high temperature thermal energy storage and integrated systems. The postdoc will
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Infrastructure? No Offer Description Job description Do you have a background within mechatronics, biomedical, mechanical, electrical, or computer engineering and research interests in medical robotics and human
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degree. This eligibility requirement must be met no later than the time the employment decision is made. PhD in Railway Engineering, Civil Engineering, Geotechnical Engineering, or a closely related field
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. This eligibility requirement must be met no later than the time the employment decision is made. PhD in Nuclear Engineering, Nuclear Power Safety, Engineering Mechanics or similar, with extensive experience from
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provide detailed information on dynamic processes previously not feasible to study experimentally. Of special current interest is the development of new spectroscopic techniques to study high
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We are seeking a highly motivated postdoc at the Division of Neuronic Engineering at KTH focuses on virtual analysis of rat experiments for brain trauma. Preclinical rat experiments of traumatic brain injury are widely used for neurotrauma research and therapeutic development. Today, the...
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semantic representation models for sign language. Such representations are key to allowing SL to be efficiently processed by large language models (LLMs), and will lead to machine learning models that can