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Employer
- Adam Mickiewicz University, Poznań
- Institute of Dendrology, Polish Academy of Sciences
- Institute of Plant Genetics PAS
- International Institute of Molecular and Cell Biology in Warsaw
- Maj Institute of Pharmacology Polish Academy of Sciences
- Nicolaus Copernicus University
- University of Agriculture in Krakow
- Łukasiewicz Research Network - Krakow Institute of Technology
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Field
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2014 r. poz. 1182) Act of August 29, 1997. Personal Data Protection Act (Journal of Laws of 2014, Item 1182)) LanguagesENGLISHLevelExcellent LanguagesPOLISHLevelGood Research FieldHistory
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regulatory genomics. Proficiency in R, Python, or other programming languages, experience in bioinformatics analyses of NGS data and understanding of statistical principles is highly desired. Experience
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for outreach Specific Requirements Required research, teaching or mixed experience Photogrammetry experience – structure from motion Simple statistical analyses using reproducible workflows (e.g. using R
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/or high-throughput data processing generated by NGS sequencing, HPLC/MS techniques, or digital phenotyping systems. Familiarity with computational and bioinformatics tools such as R, Python
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; experience of working in R or Python; LanguagesENGLISHLevelGood Research FieldAgricultural sciences » Forest sciences Additional Information Benefits 1. stable employment 2. academic support and opportunities
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Conditions: Full-time employment contract for 24 months; Salary: 12,000 PLN gross/gross per month; Work in a research organization focused on innovative, prestigious R&D projects; 36 days of vacation per
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conduct. Additional assets will include: Knowledge of programming languages R and/or Python for the purpose of biological, bioinformatic, and statistical data analysis, including the use of libraries
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, pancreatic physiology, genome editing, high-throughput screen, or multiomics Knowledge of R, Seurat package or experience in transcriptomic data analysis Selection process The competition committee begins
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IF>10; Proficiency in English (speaking and writing); Skills in data analyses using statistical (R or Python) or geoinformatic (QGIS or ArcGIS) software; Readiness to participate in scientific expeditions
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ecological genetics; 3. Hands-on experience in data analysis using the R programming environment; 4. Additional assets include experience with whole-genome sequencing (WGS) data analysis and methods in