Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- AbbVie
- BARCELONA SUPERCOMPUTING CENTER
- Barcelona Beta Brain Research Center
- Curtin University
- Duke University
- Instituto Pedro Nunes
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Missouri University of Science and Technology
- NTNU Norwegian University of Science and Technology
- National University of Singapore
- Nature Careers
- Politécnico de Leiria
- Simons Foundation/Flatiron Institute
- The University of Edinburgh;
- The University of Queensland
- University of Nottingham
- University of Sheffield
- 8 more »
- « less
-
Field
-
enable the development of PE-based pipes with a longer service life for use in the mining sector. Work plan: The work plan aims at the development of new PE-based pipes with high abrasion resistance. It
-
analytics More information can be found at https://smi.uq.edu.au/mishc About This Opportunity This is an exciting opportunity for a Professorial Research Fellow to work within the Minerals Industry Safety and
-
, or a related field. Proven experience in machine learning, deep learning, generative AI and data mining. Strong programming skills (e.g., Python, R, MATLAB, or similar). Experience with data
-
(we are a leading member of the Project MinE consortium; https://projectmine.com/) . All of these areas of expertise are represented within the MND group providing significant opportunity
-
Out https://erecruit.umsystem.edu/cs/tamext/cache/PT_PORTAL_UTIL_JS_MIN_1.js Add to Favorites Please Enter a Unique Description for this Favorite *Description Related Content New Window Close
-
conduct research at the intersection of process mineralogy, mineral processing, and artificial intelligence in a collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X
-
symptom trajectories and clinical outcomes (AMBIENT-BD)”, https://www.ambientbd.com/). The post holder will be a key member of the Data Analytics Research and Technology Research group (DARTH, https
-
, machine learning, database systems, or data mining. Experience with different generative AI approaches such as transformer, or diffusion models. Very good programming skills in either Python, Julia, or R
-
the Internal Project, under the following conditions: Scientific area: Digital Transformation by Process Management and Process Mining Recipients: Graduates in Computer Engineering and related areas Duration
-
Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text-mining solutions applied primarily to biomedical and