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mechanical activity at the same time. In this context, the use of mathematical models and machine learning methods can be relevant to integrate physiological knowledge in data analysis and to analyze
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research colleagues, and to learn about the larger context of my research and the research project. Offer: The aim of this PhD research is to optimize acoustic metasurfaces of finite size using machine
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-/chemo-genetics, in vivo calcium/voltage imaging, high-speed camera with machine learning, and behaviors. The lab will provide the training for relevant experimental techniques. Recent lab publications
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for the position of one to two Prae-Docs (3 year appointment, 30 hours) at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The successful candidate will work in the group
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, 40h) at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The successful candidate will work in the group of the START research project "Universal structures in
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concepts such as distributed cognition, edge computing, machine learning, formal ontologies, unplugged artificial intelligence, frugal computing... Smart Villages (a rural version of the Smart City) and
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statistics Excellent background in statistical/machine learning Experience in computer vision is a plus Strong motivation for medical and societal applications of computational methods Knowledge of biology and
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no.: 2439 Explore and teach at the University of Vienna, where over 7,500 academic minds have found a unique blend of freedom and support. Join us if you're driven by a passion for top-notch international
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host of industries involving machine listening, ranging from smart prosthetics and assistive listening technologies to maritime exploration, environmental monitoring, and autonomous vehicles. PhD
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, Stability. The candidate should have ideally, at least 2 years post-PhD experience (as a Post-Doc or Assistant Professor), a strong background in Computer Sciences and Mathematics, and a strong track record