Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Delft University of Technology (TU Delft)
- NTNU Norwegian University of Science and Technology
- Aalborg University
- Technical University of Munich
- Monash University
- CNRS
- University of Nottingham
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- University of Antwerp
- University of Warwick;
- Carnegie Mellon University
- KU LEUVEN
- SciLifeLab
- The University of Manchester
- ETH Zürich
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- Wageningen University & Research
- AALTO UNIVERSITY
- University of Birmingham
- University of Copenhagen
- University of Exeter
- University of Innsbruck
- University of Oslo
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Aalborg Universitet
- Amsterdam UMC
- Fondazione Bruno Kessler
- Manchester Metropolitan University
- Radboud University
- University of Bergen
- University of Luxembourg
- University of Tübingen
- University of Warwick
- BI Norwegian Business School
- Durham University
- Fraunhofer-Gesellschaft
- Ludwig-Maximilians-Universität München •
- Maastricht University (UM)
- Queensland University of Technology
- The University of Chicago
- The University of Newcastle
- Trinity College Dublin
- Umeå University
- University of Basel
- University of Groningen
- University of Göttingen •
- 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)
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- IDAEA-CSIC
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- 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
- National Research Council Canada
- Newcastle University
- Norwegian Institute of Bioeconomy Research
- Norwegian University of Life Sciences (NMBU)
- Radix Trading LLC
- Technical University of Denmark
- Tilburg University
- UNIVERSITATEA DIN CRAIOVA
- UNIVERSITY OF VIENNA
- University of Bedfordshire
- University of Bremen
- University of Cambridge
- University of Cambridge;
- University of Münster •
- University of Newcastle
- University of Oxford
- University of Primorska
- University of Sheffield
- University of Twente (UT)
- University of Vienna
- Uppsala universitet
- VIB
- Vrije Universiteit Brussel
- AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences
- ARCNL
- Adam Mickiewicz University
- BAM Bundesanstalt für Materialforschung und -prüfung
- 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)
- 90 more »
- « less
-
Field
-
chemistry and study the physicochemical properties of peptides loaded into the materials. Build surrogate models and apply machine learning techniques to extract design rules and rapidly screen thousands
-
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
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
into resources that can be used for machine learning. The PhD will therefore investigate multimodal approaches that connect visual sign-language information with textual representations under low-resource
-
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
-
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
-
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
-
. – knowledge of computer vision; knowledge of deep learning architectures; – Knowledge of C++, Python, Matlab; – Analog/digital circuits IC design capability; – Testing of electronic devices and systems; FPGA
-
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
-
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
-
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