65 machine-learning-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" PhD positions in Denmark
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
topics: Development of deep learning models Mathematical foundations of machine learning Optimal deployment of AI systems The candidate is expected to hold a relevant MSc degree in Computer Science
-
cognitive support and corrective feedback. You will apply advanced algorithms for machine learning, multimodal biosignal processing, and human-state inference, working with shared-control strategies and
-
efficiency. The goal is original research for leading machine-learning, computer-vision and robotics venues. The successful candidate will be expected to conduct original, high-quality research
-
employment. Publication Track Record: At least two first-author research papers at flagship venues of core machine learning research (e.g., NeurIPS, ICML, ICLR, AISTATS). Theoretical Rigor: A deep
-
structured, well-documented way that supports benchmarking, reproducibility, and reuse by others. Essential: Strong data analysis and machine learning skills and experience with PyTorch (or equivalent
-
Postdoc in first-principles modelling and machine-learned force fields for correlated disorder in...
Chemistry at the Institute of Materials Chemistry, TU Wien. The group develops and applies electronic-structure theory, machine-learning methods and predictive calculations of defects and transport properties
-
, machine-learning methods and predictive calculations of defects and transport properties. The position will also be integrated into the wider CENSEMAT research environment at Aarhus University, allowing
-
-established field of research, these are still very much open problems. To this end, we are looking for candidates interested in developing new machine learning methods for medical image analysis, with a
-
position will be affiliated with either the research group It and Learning Design ( https://www.ikk.aau.dk/forskning/forskningsgrupper/l-ild and https://www.ikk.aau.dk/forskning/forskningsgrupper/kild
-
intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types of materials are fed into