Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Nottingham
- Aalborg University
- Nature Careers
- SciLifeLab
- HONG KONG BAPTIST UNIVERSITY
- University of Antwerp
- Carnegie Mellon University
- Linköping University
- Uppsala universitet
- Aalborg Universitet
- CNRS
- Delft University of Technology (TU Delft)
- Hasselt University
- Inria, the French national research institute for the digital sciences
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Northeastern University
- Norwegian University of Life Sciences (NMBU)
- Technical University of Munich
- Umeå University
- Cranfield University
- Eindhoven University of Technology (TU/e)
- Empa
- European Synchrotron Radiation Facility
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Imperial College London;
- KU LEUVEN
- King's College London
- Leibniz
- Ludwig-Maximilians-Universität München •
- Lunds universitet
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Mid Sweden University
- Newcastle University
- Queensland University of Technology
- Saarland University •
- Sveriges Lantbruksuniversitet
- Technical University of Denmark
- The University of Chicago
- The University of Manchester
- UNIVERSITY OF VIENNA
- Umeå universitet
- University of Cambridge
- University of East Anglia
- University of Exeter
- University of Ljubljana
- University of Lund
- University of New Mexico
- University of Plymouth
- University of Southern Denmark
- University of Surrey
- University of Surrey;
- University of Texas at El Paso
- University of Vienna
- Universität Wien
- 49 more »
- « less
-
Field
-
to your work duties after employment. Required selection criteria Applicants must hold a relevant master’s degree in telecommunications, computer networks, computer science, or a closely related field, with
-
Department. Profile You hold a master’s degree in Electrical Engineering, Computer Engineering, Telecommunications, Computer Science, or a closely related discipline, or you will have obtained it by the time
-
/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
-
seeking a PhD candidate in computer architecture. The research focus of this PhD position is the design of performant and energy-efficient Edge Artificial Intelligence (AI) accelerators. Such accelerators
-
. You will become part of a dynamic, collaborative working environment with expertise in drilling engineering, geomechanics, machine learning, and energy systems. The project will integrate real‑time
-
PhD Studentship: Reliability and sustainability of packaging for cryogenic power electronics This exciting PhD opportunity is jointly hosted by the Power Electronics, Machines and Control (PEMC
-
on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
-
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
-
optimization (WOB, RPM, flow rate, etc.) using machine learning techniques Anomaly detection for downhole vibrations, bit failure, and circulation losses Integrating physical modeling, digital twins, and data
-
networks, computer science or equivalent, with a strong background on theoretical and applied ML/AI. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained