Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- INESC ID
- UiT The Arctic University of Norway
- OsloMet
- University of Stavanger
- CICERO Center for International Climate Research
- Instituto de Telecomunicações
- Max Planck Institutes
- Nansen Environmental and Remote Sensing Center
- Nature Careers
- Umea University
- Universidade do Minho - ISISE
- University of Oslo
- 2 more »
- « less
-
Field
-
30th April 2026 Languages English Norsk Bokmål English English PhD Fellow in Machine Learning Apply for this job See advertisement About us The Nansen Center is a Norwegian environmental research
-
Machine Learning Group, Department of Engineering, CambridgeMLG Cambridge About Us News Research Publications People PhD Admissions Blog Latest News Papers with MLG authors to appear at ICML and
-
, wearable physiological sensing, and machine learning to uncover how factors like fatigue and cognitive workload impact technician performance. Join us to develop predictive models that predict human error
-
interactions with local centres of excellence in artificial intelligence, machine learning, applied mathematics, and computational sciences Application Procedure We accept applications from students of any
-
Campus in Viken. The Department of Mechanical, Electrical and Chemical Engineering at the Faculty of Technology, Art and Design (TKD) has a vacant PhD Fellowship position in Wind Turbine Aerodynamics
-
of the following areas: robotics, machine learning, robot perception, underwater systems, nonlinear control, system modelling, or autonomous manipulation Strong programming skills and a solid
-
9th April 2026 Languages English Norsk Bokmål English English PhD Fellowship in Surrogate Modelling of Fluid Flows using Deep Learning Apply for this job See advertisement Job description The
-
. Experience with programming, modelling, statistical analysis, or the use of data analytics, machine learning or artificial intelligence methods is desirable. Personal qualities Strong ability to follow through
-
experience – 40% Evaluation of academic performance and/or relevant professional experience in machine learning, AI, software engineering, or security-related domains. Research track record and scientific
-
numerical models and machine learning tools to predict loads, assess structural responses, and identify damage under extreme conditions. By combining computational simulations with data-driven approaches