Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- AALTO UNIVERSITY
- Susquehanna International Group
- Nature Careers
- Technical University of Munich
- UNIVERSITY OF HELSINKI
- Carnegie Mellon University
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Duke University
- KINGS COLLEGE LONDON
- New York University
- The Ohio State University
- UNIVERSIDAD POLITECNICA DE MADRID
- Universite de Moncton
- University of Massachusetts Medical School
- Aarhus University
- Academic Europe
- Brookhaven Lab
- Brookhaven National Laboratory
- CNRS
- Drexel University
- Edmund Mach Foundation
- Emory University
- Forschungszentrum Jülich
- Heraeus Covantics
- Leibniz
- Lunds universitet
- Michigan State University
- National Renewable Energy Laboratory NREL
- Norwegian University of Life Sciences (NMBU)
- SINTEF
- Technical University of Denmark
- The University of Newcastle
- UNIVERSITY OF SYDNEY
- Universidad de Alicante
- Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab
- University of Alabama, Tuscaloosa
- University of Cambridge;
- University of Innsbruck, Institute of Computer Science
- University of Minnesota
- University of Newcastle
- University of Oxford
- University of Sheffield;
- University of Sydney
- University of West Bohemia
- Virginia Tech
- Warsaw University of Technology - Centre for Credible AI
- 36 more »
- « less
-
Field
-
data science methods to build explainable and integrated machine learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care
-
locomotion. Apply machine learning and machine vision algorithms to track body and limb movements. Use biomechanical modeling to analyze walking data and fit locomotion models. Operate a force sensor to
-
/SinglePageApplicationForm.aspx… Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Skills/Qualifications Professional skills Experience in: Reinforcement Learning (RL), Model Predictive Control (MPC
-
. Knowledge on multiphase (gas-particle two phase system), thermal energy storage, and/or renewable hydrogen technologies. Familiar with application of machine learning and deep learning algorithms to fluid and
-
University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
-
-engineering-and-automation/nonlinear-systems-and-control ) at Aalto University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees
-
quantitative methods, data mining, machine learning, and AI applications. Macroeconomic research on monetary policy, financial stability, banking sector dynamics, housing affordability, labor markets (e.g
-
-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning
-
on the application of machine learning in satellite communications (20 points). Participation in European Space Agency projects (20 points). Other skills that are valuable, but not mandatory are: Knowledge of over
-
, modelling and simulation of photonic systems, sensor systems, signal processing and device manufacturing, development of machine learning algorithms, and design of optical communication networks or power