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Field
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list of publications complete with ranking scores such as the Impact Factor, the place on the Polish Ministry of Science and Higher Education ranking list, the number of citations (MUW employees should
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for analysis of the LiDAR data); basic knowledge of R or Python programming language and ability to use it in statistical analysis and processing remotely sensed data is also expected. Ability to work in a team
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) Extrapolation of photospheric magnetic fields to the corona using various approaches. 2) Quantitative analysis of HXR (imaging spectroscopy from STIX and HXI) and EUV (fluxes and DEMs) sources. 3) Analysis and
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postdoctoral research experience in thermal-hydraulics and multiphase flows, demonstrate expertise in nuclear safety system analysis (containment thermal-hydraulics, pool scrubbing phenomena), show practical
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, the use of advanced statistical techniques, planning and conducting field and laboratory research, experience in work related to the analysis of fish otolith microstructure will be an additional advantage
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the National Science Centre of Poland, is to develop (derive and implement) an extended relativistic two-component atomic mean-field formalism (extended atomic mean field, eamf) within the self-consistent GW
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(with a total value of at least 1000 points) or in journals indexed in databases with an Impact Factor (the so-called Philadelphia list). A minimum total of 30 points is required. 2. Promotion
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48 months Comprehensive training and supervision, including: behavioral testing methods bioinformatics data analysis scientific writing and publication support Selection process How to apply Please
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in the visualisation of analysis results of the acquired data; preparing publications and presenting results; collaborating with other team members. This is a half-time position for a post-doctoral
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to the analysis of bone materials; ability to work within an interdisciplinary team, including collaboration with archaeologists, geologists, and other specialists; ability to independently coordinate research