710 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Bristol" positions in Norway
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with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn mathematical modelling of hormone rhythm
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is classified under the job code “Stipendiat” (PhD position, code 1017). In addition to the base salary, a Svalbard allowance of NOK 44,640 per annum is provided. A 2% contribution to the Norwegian
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current regulations. The position is classified under the job code “Stipendiat” (PhD position, code 1017). In addition to the base salary, a Svalbard allowance of NOK 44,640 per annum is provided. A 2
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as Code tools, DevSecOps and/or AIOps practices Relevant publication activities will be considered an advantage Good oral and written presentation skills in Norwegian/Scandinavian language Personal
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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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candidates may apply before completing their PhD degree. However, a documented proof of a PhD degree is required upon appointment Excellent programming skills (Python, Julia, R) and maintenance of code
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the job code “Stipendiat” (PhD position, code 1017). In addition to the base salary, a Svalbard allowance of NOK 44,640 per annum is provided. A 2% contribution to the Norwegian Public Service Pension Fund
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current regulations. The position is classified under the job code “Stipendiat” (PhD position, code 1017). In addition to the base salary, a Svalbard allowance of NOK 44,640 per annum is provided. A 2
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. Experience with programming (for example Python/Matlab) and image analysis is highly recommended. Please share your GitHub code repository if you have one. In assessing the applications, special emphasis will
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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