149 coding-"https:"-"https:"-"https:"-"Stanford-University"-"FORTH" Fellowship positions in Norway
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’ project. Develop code scripts using programming languages such as Fortran, Python, and/or MATLAB Validate and test of customized scripts and perform numerical simulations. Closely collaborative and
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. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
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independently on the topic. Good knowledge of force field codes (like Gromacs, Lammps, Raspa or similar) and density functional modelling with e.g. Quantum Espresso or VASP is crucial. You must have a good
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(Services for sensitive data) Participate in the dissemination of the project Participate in coding of data and organization of coding Participate in work with ethical approvals and data management plan
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required documents. The letter should schematically include: Master thesis topic and a brief description of its original content (e.g., new results, new codes, innovative methodology). Links to any public
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good and professionally stimulating working environment. salary as PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual salary of NOK 568 700. Further increases in
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schemes with beneficial mortgages and good insurance schemes Salary in position as Postdoctoral Fellow, position code 1352 in salary range NOK 595 000 - 690 000, depending on competence and experience. From
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Opportunities for research stays at leading Norwegian partner institutions The position is remunerated according to the Norwegian State salary scale, job code 1017. The starting salary at Volda University College
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to: Participate in data collection and coding of data Participate in the analysis of data Write research articles/publications Participate in the dissemination of the project Participate in the ongoing reporting
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trials Interest and experience with user participation in research Interest and experience with open science practices (e.g., pre-registered analytic plans, open sharing of analytic code, or involvement