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in quantitative analysis and computer programming, preferably using R, MATLAB, or Fortran is a requirement. Demonstrated experience working with large field datasets is a requirement Experience with
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completed by 31.12.2025. It is a condition of employment that the PhD has been awarded. Documented experience and confidence in quantitative analysis and computer programming, preferably using R, MATLAB
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to interpret results from a wide variety of omics assays including whole-exome-seq, mRNAseq, ATACseq/ChIPseq, is required. Documented experience with programming e.g. R is required. Documented broad experience
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using Python, R, Matlab, Julia or similar is required. Knowledge of energy systems, energy system modelling or the European energy market will be an advantage. Understanding of atmospheric processes
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employment. Documented knowledge on renewable energy is required. Experience and proven knowledge in scientific programming using Python, R, Matlab, Julia or similar is required. Knowledge of energy systems
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obtain binding data and high resolution crystal structures (Espeland LO, Georgiou C, Klein R, Bhukya H, Haug BE, Underhaug J, Mainkar PS, Brenk R. An Experimental Toolbox for Structure-Based Hit Discovery
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. Experience in programming in languages such as MATLAB, R or Python is a requirement. Experience in Magnetic Resonance (NMR, MRS, or MRI) is a requirement. Experience in machine learning and processing
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employment that the master's degree has been awarded. Experience in programming in languages such as MATLAB, R or Python is a requirement. Experience in Magnetic Resonance (NMR, MRS, or MRI) is a requirement
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and high resolution crystal structures (Espeland LO, Georgiou C, Klein R, Bhukya H, Haug BE, Underhaug J, Mainkar PS, Brenk R. An Experimental Toolbox for Structure-Based Hit Discovery for P. aeruginosa
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modelling. Applicants must have good skills in programming (e.g. Python, R, Java Script) Experience (for example a master project or internship) working with snow or the cryosphere is a requirement