Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- Aalborg University
- NTNU Norwegian University of Science and Technology
- Technical University of Munich
- Monash University
- University of Nottingham
- CNRS
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- University of Antwerp
- University of Warwick;
- Carnegie Mellon University
- KU LEUVEN
- ETH Zürich
- Forschungszentrum Jülich
- SciLifeLab
- The University of Manchester
- Inria, the French national research institute for the digital sciences
- Wageningen University & Research
- AALTO UNIVERSITY
- University of Birmingham
- University of Exeter
- University of Innsbruck
- University of Oslo
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Aalborg Universitet
- Amsterdam UMC
- BI Norwegian Business School
- Fondazione Bruno Kessler
- Manchester Metropolitan University
- Radboud University
- University of Copenhagen
- University of Tübingen
- Durham University
- Fraunhofer-Gesellschaft
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM)
- National Research Council Canada
- Queensland University of Technology
- The University of Chicago
- The University of Newcastle
- University of Basel
- University of Bergen
- University of Groningen
- University of Göttingen •
- University of Twente (UT)
- University of Warwick
- Wrocław University of Science and Technology
- Aarhus University
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Centrum Wiskunde en Informatica (CWI)
- Grenoble INP - Institute of Engineering
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- IDAEA-CSIC
- Instituto de Sistemas e Robótica (ISR)
- Jane Street Capital
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Leiden University
- Linköping University
- Lulea University of Technology
- Luleå University of Technology
- Luxembourg Institute of Science and Technology
- Newcastle University
- Norwegian Institute of Bioeconomy Research
- Radix Trading LLC
- Tilburg University
- Trinity College Dublin
- UNIVERSITATEA DIN CRAIOVA
- UNIVERSITY OF VIENNA
- Umeå University
- University of Bedfordshire
- University of Bremen
- University of Cambridge
- University of Cambridge;
- University of Luxembourg
- University of Münster •
- University of Newcastle
- University of Oxford
- University of Primorska
- University of Sheffield
- University of Vienna
- Uppsala universitet
- VIB
- Vrije Universiteit Brussel
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- ARCNL
- Abertay University
- Adam Mickiewicz University
- BAM Bundesanstalt für Materialforschung und -prüfung
- BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
- BRGM
- Blekinge Institute of Technology
- CMU Portugal Program - FCT
- CNAG
- CNR
- Centre Internacional de Mètodes Numèrics en la Enginyeria
- Centro de Investigaciones sobre Desertificación (CIDE, CSIC-UV-GVA)
- Chalmers University of Technology
- 90 more »
- « less
-
Field
-
systems are generally ill-conditioned. The project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and
-
insights for streaming, broadcast, accessibility and media production. Candidate profile Applicants should have a background in machine learning, audio engineering, speech processing or a related discipline
-
) with computational methods. The candidate will obtain single-molecule multiplexing data and validate machine learning predictions using the high-throughput data. The successful candidate will collaborate
-
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
-
theoretical modelling. The project will focus on self-learning active mechanical networks, but will be tailored to align with the interests and expertise of the successful candidate - we will mutually ensure
-
on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
-
meet the requirements for admission to the faculty's doctoral programme in Engineering Cybernetics . Strong programming skills, in particular Python, and practical experience with modern machine learning
-
improved using machine learning techniques. The developed techniques will be applied to metrology of semiconductor samples. Job requirements You are an enthusiastic candidates with a ‘drive’ for applied
-
independently. We value personal development: you will receive training in advanced computational techniques, machine learning, data analysis and scientific communication. You’ll have the opportunity to attend
-
Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong