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accordance with current regulations. The position is classified under the job code “Stipendiat” (PhD position, code 1017). In addition to the base salary, a Svalbard allowance of NOK 44,640 per annum is
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strategies and levels of fidelity. By the end of the project, the student will demonstrate the integration of ML-based boundary layer models within an open-source finite volume CFD code and quantify
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‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8060F Research Area: Electrical and Electronic
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scientific positions. We have a number of measures to promote equality. Salary and conditions In the position of PhD Candidate, code 1017, your gross salary will normally be NOK 550 800,-per annum depending
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constraints such as sensitive devices running in a medical environment could be considered. Keywords for this project: code analysis, static analysis, reverse engineering, defense mechanisms, vulnerability
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large scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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work. The project will involve: Learning how to express software requirements precisely using formal models. Using these specifications to automatically generate test cases for software systems and code
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python
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Codes such as ABAQUS, ANSYS, etc. for numerical analysis of fatigue and fracture mechanics Knowledge of basic turbomachinery principles Oral and written proficiency in Norwegian/Scandinavian languages
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or technologies to analyse movement. Experience and competence in analytical / programming software to code and analysis data. How to apply Interested applicants should contact Dr Phil Graham Smith (p.graham-smith