307 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" "St" research jobs in Sweden
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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vision. Understanding or willingness to learn advanced statistical modeling is a plus Assessment criteria and other qualifications: This is a career development position primarily focused on research
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broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes
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over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https
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researchers recruited into the WISE program will be a part of the WISE Research School https://wise-materials.org/research-school/ an ambitious nationwide program of seminars, courses, research visits, and
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the supervision of master’s and/or PhD students. Astrophysics research at KTH is part of the Oskar Klein Centre for Cosmoparticle Physics (OKC) at the AlbaNova University Centre (https://www.okc.albanova.se ). OKC
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment
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well as development of applications for a sustainable life. Read more about our benefits and working at SLU by visiting: https://www.slu.se/en/about-slu/work-at-slu/ Location: Uppsala Form of employment: Temporary
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research in the field of electrical machines and electrical modelling, we are now looking for a Postdoctoral Fellow with ambitions within the academy for a two-year employment. Subject description
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infrastructures organized in infrastructure platforms, of which the Vibrational Spectroscopy Core Facility (ViSp) is a central infrastructure for this project (https://www.umu.se/en/research/infrastructure/visp