164 coding-"https:"-"https:"-"https:"-"The-California-State-University" Fellowship positions in Norway
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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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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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physiologists. 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 salary are made according to length of service in
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professional environment Salary as PhD research fellow (code 1017) in the state salary scale. This constitutes a gross annual salary of NOK568 700. Further increases in salary are made according to length
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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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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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have been out of work for a period of time. Salary and conditions As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 604 900,- per annum before tax, depending on qualifications and
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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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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