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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis
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well as candidates with a background in machine learning methods. The PhD programme will straddle the boundaries between the field of wave modelling and the general field of machine learning, and we will set up a team
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, Genomics, Cell Biology, or Biotechnology. Experience in next generation sequencing and handling of big data set as well as analysis of data using R software will be advantageous for the position
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Abandonment (P&A) Technology and within the framework of the ongoing industry sponsored research program SFI – Center for Subsurface Well Integrity, Plugging and Abandonment (SWIPA) https://www.sintef.no/en
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for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background knowledge in either (computational) Bayesian methods, or statistical learning for molecular data
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co-supervisors. Duties of the position Complete the doctoral education until obtaining a doctorate To undertake the necessary courses as part of the PhD program Perform research and report progress
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will be on a High Performance Computing (HPC) cluster involving the use of a range of bioinformatic software tools in addition to coding in python, R and bash. These are the main tasks: Implement
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international conferences and scientific articles. Take part in the Electronic and Telecommunications PhD program and fulfill the requirements for a PhD degree. Be prepared for changes to your work duties after
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of Information Technology and Electrical Engineering. Knowledge of fundamentals of C++ programming. Competence in code optimization. Knowledge of hardware/software co-design principles, and computer architectures. Good