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                Employer- Cracow University of Technology
- Institute of Environmental Engineering
- Institute of Geological Sciences, Polish Academy of Sciences
- Institute of Nuclear Physics Polish Academy of Sciences
- Institute of Organic Chemistry Polish Academy of Sciences
- Kozminski University
- Mossakowski Medical Research Institute, Polish Academy of Sciences
 
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                Field
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                , and geochemical investigations, including stable isotope and trace element analysis. The position is to be filled not later than on 1st March 2026. Where to apply E-mail m.godzwon@twarda.pan.pl 
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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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                : HYDROGEN-Cell-Storage project Job description: Description of tasks: Photo-switchable ultra-thin membranes for molecular separation, analysis of photophysical properties of new compounds, direct supervision 
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                , SNA, Machine Learning, Sentiment Analysis) with qualitative ones (digital ethnography, narrative analysis). One of the tangible side-effects of the project will be developing research tools for Polish 
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                of molecular biology and biochemical techniques (immunohistochemistry, confocal microscopy, mitochondrial isolation, Western blotting, PCR, enzymatic assays). Analysis and interpretation of results, preparation 
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                participation in: • preparation of Plasma-Focus PF-24 for experiments with laser ablation of boron and measurement of charged particles emitted in the p-B reaction, • analysis of the efficiency and 
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                achievements in the field of physical sciences documented by publications in renowned journals 2. Additional Requirements: 1) statistical analysis of large data sets 2) knowledge of machine learning 3 
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                the field of physical sciences documented by publications in renowned international journals, including achievements in elementary particle physics 4) knowledge of issues related to data analysis in the LHC