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Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences (formerly Institute of Genetics and Animal Biotechnology PAS) | Poland | about 1 month ago
- care for the doctoral student - substantive involvement in the work performed -preparation of partial reports and the final report - statistical analysis of the obtained results - preparation of data
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considered an advantage. Experience with computational analysis of omics datasets or bioinformatics is desirable but not required. Ability to independently design experiments, analyse data critically, and
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://ncn.gov.pl/sites/default/files/listy-rankingowe/2022-09-15-opu8… The research tasks will include: Planning and conducting experimental work (research conducted during epilepsy monitoring). Data analysis
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preparation protocols for NGS and Oxford Nanopore sequencing, organising, recording and overseeing the handling of biological samples, performing preliminary analysis and interpretation of sequencing data
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the biobanking (especially cells); extensive experience in working with a flow cytometer and cell sorter (ability to independently perform compensation and data analysis, as well as hands-on experience in
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libraries for CRISPR-interference method, Transformant identification and validation, Investigation of the mechanism of action of the identified regulating factors, Experimental Data Analysis: Flow Cytometry
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qualitative analysis with quantitative analysis and/or bibliometric methods practical experience with qualitative data analysis software (e.g., MaxQDA, NVivo, ATLAS.ti, or related tools) knowledge of Open
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, or fermentation laboratories (or similar), including fermentation processes and analytical techniques, as well as in working in research projects. Experience in omics and bioinformatic data analysis, including
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, Poland. The research is based on peat cores obtained from peatlands in Poland, Estonia and Norway. The successful candidate will be responsible for data analysis and article writing. Within the contract
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work: refining the GC-C-IRMS method, including measurement techniques and derivatisation methods; Analysis and interpretation of all collected data; Preparation and submission of articles to scientific