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Develop standard code packages and training to allow researchers to conduct statistical analysis and identify trends within datasets. Ensure data integrity and reproducibility, reducing redundant data
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accomplishments (in particular quality of thesis, but also publications, code repositories, conference presentations, outreach activities, etc.). Be interested in working in a multidisciplinary and international
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: Typescript/JavaScript CSS/SASS Python SQL NodeJS Angular You are also expected have extensive experience in the following areas: Software design and architecture Gitlab - source code management and pipeline
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contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python, MATLAB, R, C++, Julia, potentially HIL
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contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python, MATLAB, R, C++, Julia, potentially HIL
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(EM) forward modeling, inversion, and applied EM studies. Within this team, the candidate will be responsible for the numerical development of inversion codes for both frequency-domain (FEM) and
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literature on the effect of specific life events on travel behaviour code and analyse qualitative interviews on the background of psychological theories and methods. contribute to academic papers aimed at high
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(EM) forward modeling, inversion, and applied EM studies. Within this team, the candidate will be responsible for the numerical development of inversion codes for both frequency-domain (FEM) and
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accomplishments (in particular quality of thesis, but also publications, code repositories, conference presentations, outreach activities, etc.). Be interested in working in a multidisciplinary and international
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City Copenhagen Website http://www.geus.dk/ Street Øster Voldgade 10 Postal Code 1350 E-Mail mpu@geus.dk STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket