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complementary transcriptomic profiling techniques, including RNA-seq and differential RNA- seq (dRNA-seq), the study will generate a comprehensive catalogue of the B. fragilis transcriptome architecture and
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working with complex systems and troubleshooting. Proficiency in specialized instrumentation and data analysis, including the use of relevant software, is highly desirable. Strong analytical skills and the
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, annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud computing infrastructure, software, servers, etc. work in active an inspiring environment; an active
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. Knowledge of molecular control of flowering induction in plants. Ability to use MS Office software, including Word and Excel. At least good knowledge of spoken and written English. Independence in performing
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School with the status of a PhD student 2. Knowledge of basic methods in structural biology and medicinal chemistry 3. Familiarity with software for protein and protein–ligand complex structure analysis 4
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. - Strong motivation for scientific research, ability to work independently and effectively plan and organize research tasks - Familiarity with standard office software and scientific data presentation
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of English - Computer literacy, knowledge of MS Office and scientific software used for data analysis (e.g., GraphPad Prism, etc.) - Commitment to comply with the regulations of the Department of Biological