Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Carnegie Mellon University
- The University of Chicago
- University of Luxembourg
- University of Texas at El Paso
- Harvard University
- Purdue University
- University of Florida
- AALTO UNIVERSITY
- CNRS
- ETH Zürich
- Jane Street Capital
- Northeastern University
- Pennsylvania State University
- Radix Trading LLC
- Technical University of Munich
- The University of Alabama
- Tilburg University
- University of Bremen
- University of Miami
- University of Newcastle
- University of Oxford
- University of South Carolina
- Aarhus University
- BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
- Chalmers University of Technology
- Columbia University
- Duke University
- European Commission - Joint Research Centre
- Fermilab
- George Mason University
- Georgia Southern University
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Instituto de Sistemas e Robótica (ISR)
- Istituto Italiano di Tecnologia
- LIVERPOOL JOHN MOORES UNIVERSITY
- Luxembourg Institute of Science and Technology
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- National University of Singapore
- Radboud University
- Rochester Institute of Technology
- The Ohio State University
- The University of Iowa
- UNIVERSITAT POMPEU FABRA
- Universidade de Vigo
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Arkansas
- University of Cambridge;
- University of Cantabria
- University of Kentucky
- University of Maryland, Baltimore
- University of Sheffield
- University of South-Eastern Norway
- University of Texas Rio Grande Valley
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 45 more »
- « less
-
Field
-
preferred (Master’s degree or higher). Skills and Knowledge: Proficiency in programming, traffic simulation, statistical modeling, and machine learning/deep learning techniques. Excellent communication skills
-
algorithms, and some knowledge of data science and machine learning (through coursework, self-learning, or personal projects). The selected student will work with Ph.D. and master's students to help develop
-
appointment. Job duties Mentoring new PhD students in numerical computational projects. Conducting comprehensive literature reviews in machine learning for subsurface flow and well performance and supporting
-
, and undertake dissemination activities. The i3WaterS training programme integrates expertise in areas including: Artificial intelligence and machine learning Explainable and trustworthy AI Knowledge
-
of expertise Most candidates will have experience with data science or machine learning, but ultimately, we’re more interested in how you think and learn than what you currently know. PhD or other research
-
related field with a strong quantitative focus. Strong programming skills in Python and demonstrated experience with machine deep learning frameworks (for instance, PyTorch or TensorFlow), preferably
-
) Item 03: Proven experience in both programming (Python, R, etc.) and the use of data analysis tools, as well as artificial intelligence / machine learning techniques (punctuation: 22.5) Item 04
-
demonstrable experience with programming in Python and implementing statistical or machine learning algorithms. You have experience with software development practices such as testing and version control with
-
, relating to craniofacial identification research and machine learning. You will require a computer science background. You will be applying AI and/or machine learning to Face Lab processes in relation
-
animal movement analyses. Geospatial analysis, GIS, and remote sensing. Statistical, ecological, and machine-learning modeling using modern analytical software (e.g., R or Python). Google Earth Engine and