Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Carnegie Mellon University
- ;
- The University of Chicago
- University of Cambridge
- Nature Careers
- Cornell University
- DAAD
- CNRS
- Institute of Computer Science of the Czech Academy of Sciences
- Radix Trading LLC
- Technical University of Munich
- The University of Iowa
- UNIVERSIDAD POLITECNICA DE MADRID
- University of Bergen
- University of Newcastle
- University of Oxford
- University of Pardubice
- Arizona State University
- Aston University
- Brookhaven Lab
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Delft University of Technology (TU Delft)
- Duke University
- Fondazione Bruno Kessler
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Ghent University
- Instituto Politécnico de Setúbal
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- KU Leuven
- Leibniz
- Luxembourg Institute of Socio-Economic Research (LISER)
- McGill University
- MedUni Vienna
- Sheffield Hallam University
- Tampere University
- Temple University
- The Ohio State University
- The University of Copenhagen
- Trinity College Dublin
- University of Adelaide
- University of Birmingham
- University of Bucharest
- University of Glasgow
- University of Liverpool
- University of Luxembourg
- University of Minnesota
- University of Oslo
- University of Sheffield
- University of Sydney
- University of Utah
- Vrije Universiteit Brussel
- Wageningen University & Research
- 43 more »
- « less
-
Field
-
, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the RESTORE project, which aims to develop, test, and deploy
-
Europe. In the Monitoring & AI department, you will be involved in the development and implementation of AI and machine learning (ML) tools for monitoring and operation of CO2 storage sites. Key
-
, candidates must demonstrate a strong desire to learn these topics.Required/Desired QualificationsKnowledge of statistical modelling and machine learningPrior experience analysing transcriptomic datasets
-
, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
-
the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago
-
the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago
-
the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago
-
partner organizations in Kenya. Qualifications: Expertise in a relevant discipline (e.g., epidemiology, ecology, nutrition, economics) with PhD conferred by the start of the position Demonstrated expertise
-
alongside longstanding regional partner organizations in Kenya. Qualifications: Expertise in a relevant discipline (e.g., epidemiology, ecology, nutrition, economics) with PhD conferred by the start of
-
the broader community. You have BS in machine learning, cybersecurity, statistics, or related discipline with eight (8) years of experience; OR MS in the same fields with five (5) years of experience; OR PhD in