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Field
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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welcome to apply. Familiarity with image data analysis tools such as SPM, FSL, AFNI, and/or DSIStudio etc will be an advantage. Signal processing and programming skills (e.g. with Matlab, Python) will be
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Renewable Energy . Criteriafor positions as PhDResearch Fellow (in Norwegian). Desired qualifications Experience in fundamentals of electrochemistry. Experience with Matlab helpful. Optionally: (co
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journal article(s) / GitHub). Excellent communication skills in English, both oral and written. Documented experience with scientific programming (e.g., Python, Matlab, R). You must meet the requirements
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, MATLAB and R • Experience in spatial analysis • Experience in using large-scale data sets • Have strong publication records • Excellent scientific writing and communication skills More
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processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ) Proven publication track record would be an advantage We regret that only shortlisted candidates will be notified. Hiring
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); Experience in seismology or associated techniques is a plus Proven experience in data processing, numerical modelling and inversion Experience in coding (Python, Matlab, Fortran, C/C++, bash) Excellent
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programming skills (e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written
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, HampsonRussell, RokDoc, Interactive Petrophysics, PowerLog, Jason, and Visage Programming skills (e.g., Python, MatLab, R) Publications related to the field of the PhD research topic Language requirement: Good
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. Candidates with either Bayesian or traditional statistical backgrounds are encouraged to apply. Candidates should be able to programme in a high-level language for data analysis such as R, STAN or MatLab