Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Denmark
- ;
- DAAD
- Technical University of Munich
- Cranfield University
- Leibniz
- Curtin University
- Forschungszentrum Jülich
- Utrecht University
- University of Nottingham
- Monash University
- Ghent University
- Chalmers University of Technology
- University of Groningen
- University of Southern Denmark
- ; Swansea University
- University of Luxembourg
- ; The University of Manchester
- University of Antwerp
- ; University of Birmingham
- Leiden University
- NTNU - Norwegian University of Science and Technology
- Susquehanna International Group
- University of Adelaide
- University of Sheffield
- Vrije Universiteit Brussel
- Wageningen University and Research Center
- Queensland University of Technology
- University of Twente
- Heidelberg University
- The University of Iowa
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- Empa
- Swinburne University of Technology
- University of Copenhagen
- VIB
- ; Newcastle University
- ; University of Exeter
- Duke University
- Purdue University
- Radboud University
- SciLifeLab
- University of Cambridge
- ; City St George’s, University of London
- ; Cranfield University
- ; The University of Edinburgh
- Cornell University
- Nord University
- Trinity College Dublin
- University of Oslo
- University of Tübingen
- ; Loughborough University
- ; University of Bristol
- ; University of Nottingham
- ; University of Sheffield
- AALTO UNIVERSITY
- CWI
- Humboldt-Stiftung Foundation
- Imperial College London
- Ludwig-Maximilians-Universität München •
- Swedish University of Agricultural Sciences
- University of British Columbia
- University of Göttingen •
- University of Massachusetts Medical School
- University of Newcastle
- University of Utah
- ; University of Oxford
- Aalborg University
- CNRS
- Erasmus University Rotterdam
- Georgetown University
- Hannover Medical School •
- Helmholtz-Zentrum Geesthacht
- Institut Pasteur
- KNAW
- La Trobe University
- Lulea University of Technology
- Molde University College
- RWTH Aachen University
- Roma Tre University
- THE UNIVERSITY OF HONG KONG
- UiT The Arctic University of Norway
- University of Bergen
- University of Oxford
- University of Southern Queensland
- University of Vienna
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Cambridge
- ; University of East Anglia
- ; University of Leeds
- ; University of Strathclyde
- Aarhus University
- Abertay University
- Aristotle University of Thessaloniki
- Carnegie Mellon University
- Flinders University
- 90 more »
- « less
-
Field
- Computer Science
- Biology
- Engineering
- Medical Sciences
- Economics
- Materials Science
- Chemistry
- Mathematics
- Science
- Earth Sciences
- Environment
- Linguistics
- Humanities
- Electrical Engineering
- Arts and Literature
- Psychology
- Social Sciences
- Business
- Education
- Design
- Philosophy
- Physics
- Law
- Statistics
- 14 more »
- « less
-
an exceptional international team with expertise in all aspects of the project. Your tasks will include: • Preparation of different EO and in-situ datasets for training a machine learning model • Development of ML
-
or compromised IoT devices by analysing encrypted traffic patterns, focusing on metadata, flow characteristics, and timing rather than decrypting payloads. The core challenge is creating features and models
-
play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms
-
diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
-
/or modelling is essential. Experience in machine learning, computer vision, and computer programming is desirable. In addition, applicants should be highly motivated, able to work independently, as
-
with host bacteria during infections, particularly focusing on the use of E. coli and its related phages as model organisms. However, the results may be applied in pathogenic bacteria related to E. coli
-
requirements. The assessor will conclude whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can
-
undertake comprehensive literature and market surveys, develop advanced simulation models, investigate integration into HVDC transmission systems, and design/test scaled-down hardware models at the ‘Wolfson
-
for clinical use. Generative and Predictive AI for Clinical Decision Support and Statistical Inference Develop biologically informed statistical methods and uncertainty estimation models to train deep learning
-
research focus will include some of the following topics: Advanced sensor fusion and multimodal AI models for robotic intercropping. Self-supervised learning will generate multimodal agricultural pre-trained