22 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions in Norway
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estimators, or machine learning) or other advanced statistical modelling. Advanced programming skills in Stata, R, Python or a similar software. Strong academic background with publications in international
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variables, fixed effects for panel data, matching estimators, or machine learning) or other advanced statistical modelling.- Advanced programming skills in Stata, R, Python or a similar software.- Strong
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international experts on detector development, electronics and radiation transport simulations for particle imaging for proton therapy. The Research Fellow will be expected to characterise the properties of novel
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(admission-completion) in the master's study program must be specified. A complete list of publications (if relevant). For applicants to the PhD fellowship: a copy of the master thesis. For applicants
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legal issues such as the rights to AI-assisted and AI-generated works and compensation for use of existing works in AI model training. In light of this ongoing transformation, it is imperative
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to the PhD fellowship: a copy of the master thesis. For applicants to the postdoctoral fellowship: Up to three publications the applicant wishes to have considered in the assessment process. Copy of education
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://www.lcbc.uio.no. Job description Develop quantitative models to estimate how the brain and various cognitive processes change throughout life. Process and analyze data from multiple sources, including behavioral
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of Oslo. More information can be found on https://www.lcbc.uio.no. Job description Develop quantitative models to estimate how the brain and various cognitive processes change throughout life. Process and
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. 1 page) Transcripts and diplomas for PhD degree A copy of the PhD thesis and of relevant manuscripts, publications or other relevant research work Name and contact details of two to three references
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is highly motivated, well organized and dynamic with a high level of independence and creative thinking Ability to present and execute novel ideas in method development, data analysis and