Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
applicants for a PhD Fellowship in Optimization of Multi-Energy Systems, at the Faculty of Science and Technology, Department of Energy and Petroleum Engineering. The position is vacant from February 2026
-
25th November 2025 Languages English Norsk Bokmål English English PhD Fellowship in Optimization of Measurement Strategies for Efficient and Safe Drilling Operations Apply for this job See
-
the Norwegian Pharmacy Foundation. The main focus of ’the research group’s work is the optimization of the medication use of the individual, patient living with multiple long-term conditions. This also applies
-
algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
-
partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
-
and control. This can involve optimizing robots through techniques from Evolutionary Robotics in a simulator, and then deploying robots for further training and subsequent testing in lab- or real-world
-
agencies, and leading global institutions. The PhD Research Fellow will focus on enabling robust, intelligent robots through co-design of morphology and control. This can involve optimizing robots through
-
of protein or metamaterial structures, the development of effective architecture for machine learning classification of the structures, and reinforcement learning methods for optimizing the structures
-
communications, and can be used to diagnose diseases, while microbacteria are important for research on antibiotics resistance. The main task for this position is to design, fabricate and optimize a photonic
-
robust, intelligent robots through co-design of morphology and control. This can involve optimizing robots through techniques from Evolutionary Robotics in a simulator, and then deploying robots