Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Forschungszentrum Jülich
- Linköping University
- NTNU - Norwegian University of Science and Technology
- CNRS
- Delft University of Technology (TU Delft)
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- HONG KONG BAPTIST UNIVERSITY
- Inria, the French national research institute for the digital sciences
- Umeå University
- University of Basel
- Aalborg University
- Technical University of Munich
- Uppsala universitet
- Faculty of Science, Charles University
- KU LEUVEN
- Leibniz
- University of Antwerp
- University of Oslo
- Vrije Universiteit Brussel (VUB)
- Duke University
- Tallinn University of Technology
- VIB
- Aalborg Universitet
- Ariel University
- CSIC
- Chalmers University of Technology
- DAAD
- Ecole Centrale de Lyon
- Fundació per a la Universitat Oberta de Catalunya
- George Mason University
- Hasselt University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Hereon
- Hong Kong Polytechnic University
- Leiden University
- PHAETHON Centre of Excellence
- SciLifeLab
- Tampere University
- Technical University Of Denmark
- UCL
- University of Birmingham
- University of Cambridge;
- University of Luxembourg
- University of Nottingham
- University of Sheffield
- University of South Carolina
- University of Southern Denmark
- Universität für angewandte Kunst Wien
- Utrecht University
- Wageningen University & Research
- Abertay University
- Academic Europe
- Auburn University
- Babes-Bolyai University
- Brunel University
- Centrale Supelec
- CentraleSupélec Rennes campus
- Consiglio Nazionale delle Ricerche
- Constructor University Bremen gGmbH
- Copenhagen Business School
- DIFFER
- Electronics and Informatics Department
- European Magnetism Association EMA
- European Synchrotron Radiation Facility
- Faculty of Sciences of the University of Porto
- GFZ Helmholtz-Zentrum für Geoforschung
- Hannover Medical School •
- Heidelberg University
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Umweltforschung
- Helmholtz-Zentrum für Infektionsforschung GmbH
- IMEC
- INRIA
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Imperial College London
- Inserm UMR-S 1250
- Institut Català de Nanociència i Nanotecnologia
- Institut Pasteur
- Institut de Recherche pour le Développement (IRD)
- Institutionen för molekylära vetenskaper
- Instituto Superior de Agronomia
- Instituto de Tecnología Química
- Jagiellonian University
- Johns Hopkins University
- Josep Carreras Leukaemia Research Institute (IJC)
- King's College London
- LEM3
- La Trobe University
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
- Linköpings universitet
- Ludwig-Maximilians-Universität München •
- Lule university of technology
- Luleå university of technology
- Maastricht University (UM)
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- 90 more »
- « less
-
Field
-
-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation methods for data assimilation; and graph-based multi
-
Intelligence (AI) and Machine Learning (ML) capabilities into distributed cloud-edge infrastructures to enable autonomous and efficient network/service management. The PhD candidate will investigate innovative
-
applicants should have a strong academic record with a solid background in Machine Learning. Knowledge of Vision-Language-Action models and Novel View Synthesis techniques is a strong plus. Good programming
-
-front Physics , Living Systems , Machine Learning , many-body quantum geometry; altermagnetism; cavity quantum science; quantum non-equilibrium processes; Casimir physics , Material Science , Materials
-
into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
-
Optimization (AI/ML) Developing AI/ML models to predict drillability issues based on mechanical rock properties Real-time parameter optimization (WOB, RPM, flow rate, etc.) using machine learning techniques
-
safety. In particular, the candidate will investigate and further develop statistical and machine learning methods for modelling and forecasting traffic safety outcomes, and contribute to data collection
-
predictions and feedback systems. You will: Design spatio-temporal machine learning models that integrate: Air pollution, weather, noise, green space, urban form; Socioeconomic and demographic data; Hospital
-
projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome
-
data set (e.g. neutron irradiations, that take years/decades to generate). Digilab brings AI/ML (artificial intelligence / machine learning) approaches for data engineering and automation to utilise