Sort by
Refine Your Search
-
Country
-
Employer
- University of Bergen
- ;
- King's College London
- National University of Singapore
- University of Cincinnati
- Lawrence Berkeley National Laboratory
- Medical College of Wisconsin
- University of Oslo
- ; London School of Hygiene & Tropical Medicine
- Auburn University
- Australian National University
- Brunel University
- Cardiff University
- Center for Drug Evaluation and Research (CDER)
- Deakin University
- Flinders University
- La Trobe University
- Missouri University of Science and Technology
- Monash University
- Nanyang Technological University
- San Diego State University
- Stockholm University
- The University of Southampton
- The University of Western Australia
- University of Leeds
- University of London
- University of Melbourne
- University of Michigan
- University of Michigan - Ann Arbor
- University of New South Wales
- University of Sydney
- 21 more »
- « less
-
Field
-
duties at the Department). About the project/work tasks Causality is a fast-developing area of machine learning, holding the promise to improve artificial reasoning and intelligence. Causal models can
-
15th August 2024 Languages English English English PhD Research Fellow in Geodynamics and Surface Processes Apply for this job See advertisement UiB - Knowledge that shapes society Through robust
-
15th August 2024 Languages English English English PhD Research Fellow in Geodynamics and Surface Processes. Apply for this job See advertisement UiB - Knowledge that shapes society Through robust
-
15th August 2024 Languages English English English PhD Research Fellow in Geodynamics and Surface Processes Apply for this job See advertisement UiB - Knowledge that shapes society Through robust
-
15th August 2024 Languages English English English PhD Research Fellow in high-resolution sedimentary dynamics of rifts during rapid climate change. Apply for this job See advertisement UiB
-
Job Description • Develop and implement AI and machine learning algorithms for urban-scale building energy modeling • Integrate AI techniques with existing building energy simulation tools
-
population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Training in statistical modelling and inference. Experience of working with large
-
increasing use of machine learning technologies have led to seismic changes in everyday practices of teaching and learning. This multi-phased ethnographic longitudinal mixed methods study aims to examine
-
communication skills Demonstrated proficiency in computer programming, particularly in R and/or Python Familiarity with data science techniques and machine learning Previous LCA work on forestry systems
-
communication (written & verbal) skills Biomedical research experience Desirable criteria UpToDate knowledge of machine learning methods applied to clinical or omics data Experience in grant writing Experience in