Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU Norwegian University of Science and Technology
- KU LEUVEN
- SciLifeLab
- CNRS
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Fondazione Bruno Kessler
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Inria, the French national research institute for the digital sciences
- Leiden University
- Radboud University Medical Center (Radboudumc)
- Technical University of Munich
- University of Copenhagen
- University of Primorska
- ARCNL
- Aalborg Universitet
- Adam Mickiewicz University
- Amsterdam UMC
- Deutsches Elektronen-Synchrotron DESY •
- ETH Zürich
- Fundacio de Recerca Clinic Barcelona-Institut d'Investigacions Biomediques August Pi i Sunyer
- Georgia Southern University
- Hannover Medical School •
- Instituto de Sistemas e Robótica (ISR)
- Istituto Italiano di Tecnologia
- Karlsruhe Institute of Technology •
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM)
- Max Planck Institute for Sustainable Materials •
- Monash University
- Nicolaus Copernicus University
- Politecnico di Milano
- Radboud University
- Saarland University
- Technische Universität München
- The Ohio State University
- Tilburg University
- University of Amsterdam (UvA)
- University of Cambridge;
- University of Groningen
- University of Luxembourg
- University of Oslo
- VUB
- 34 more »
- « less
-
Field
-
adaptive resource allocation, AI-driven network orchestration, dynamic beam steering, joint communication and sensing, and cross-layer optimization. Machine learning techniques will be investigated
-
CFD simulations, led to a shift from performance towards efficiency, defined more precisely as minimisation of computer resources required for a given simulation. Concomitantly, the objective
-
without invasive surgery. Project background We develop advanced focused ultrasound technologies, adaptive closed-loop control algorithms, and ultrasound-responsive micro/nano therapeutic carriers as an
-
PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
for the position. Preferred selection criteria Experience with machine learning or other relevant AI technologies Scandinavian language skills Previous experience from industry or research in engineer-to-order
-
projects in at least one of the following areas: machine learning, NLP/LLM, data analysis, software development, or medical data processing Willingness to familiarize yourself with medical standards, data
-
, cryo-electron microscopy (cryo-EM), cryo-EM-based polyclonal serology (cryo-EMPEM), molecular dynamics simulations, machine learning, and structural biology to define epitopes and engineer improved
-
algorithms. Our research integrates expertise from machine learning, optimization, control theory, and applied mathematics, spanning diverse application domains such as medicine, energy systems, biomedical
-
system for ferry quays, containing labelled damage data as training material for a machine learning model capable of automatically classifying structural damage from drone inspection images. The project
-
» Maritime engineering Engineering » Computer engineering Computer science Architecture » Naval architecture Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Aug
-
mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High