Sort by
Refine Your Search
-
research and enjoys working at the interface between neuroscience, mental health, and innovative therapeutic interventions. About the PhD position About the PhD position: The PhD position has a duration of
-
Personal qualities High motivation to work at the interface between academia and industry Ability to meet project reporting deadlines consistently Willingness to travel frequently within Norway and abroad as
-
this position, you will develop and implement modern control strategies for a shipboard nuclear reactor, with a primary focus on the interface between reactor output and the ship's overall power demand. This work
-
, specifically with Python-based engineering software development and hardware interfacing. Excellent oral and written English skills Demonstrated ability to independently conduct engineering projects Demonstrated
-
validating mechatronic systems. Experimental methods and testing Programming and software development, specifically with Python-based engineering software development and hardware interfacing. Excellent oral
-
working at the interface of population genetics and demography, oceanography, and computer science. It will provide broad training in research skills, and will suit a candidate who is curious and is
-
on the design of ships and marine equipment as well as on the operation of vessels. Maritime operations integrate technology, human factors and business. The interfaces between these areas often spark inspiration
-
, with a primary focus on the interface between reactor output and the ship's overall power demand. This work will be carried out on a nuclear reactor simulator, with the possibility of validating results
-
at the interface between physical sciences and AI. Personal characteristics We are looking for a candidate who: Is highly motivated for research and can work independently. Is curious and capable of learning new
-
methods, and structured unsupervised learning. Research Environment & Collaboration The successful candidate will work at the interface of probabilistic machine learning, computational statistics, and