26 machine-learning-phd "Univ" positions

PhD offer - Development of a physiological model-based analysis and machine-learning approaches for risk stratification in hypertrophic cardiomyopathy

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

VAMOR- PhD offer: Design of finite-size acoustic metasurfaces with a combination of Machine Learning and Reduced Order Models

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

University assistant Predoctoral

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

University assistant Postdoctoral

, 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

UAB Department of Anesthesiology Postdoctoral Fellow Positions

-/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

University Assistant Postdoc

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

PHD Opportunity. Joint Investigation of the Internet of Things and Artificial Intelligence for Training in Technology-Constrained Contexts

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

Three-year PhD position in Development of interactive expert software stratifying the risk of lung cancer diagnosis in the setting of lung cancer screening based on mathematical modeling and machine

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

PhD position - Therapeutic drug monitoring of betalactams by using population pharmacokinetics and machine learning

models validated in WP3 will be implemented in the free TDMx software. What we offer The future PhD student will benefit from the expertise in pharmacometrics and machine learning of Profs Grégoire and

Professorship in Computer Science and/or Applied Mathematics

, 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