Postdoc Bioinformatics - Microbiology, RNA Sequencing (m/f/d)
Leibniz-Institut für Naturstoff-Forschung und Infektionsbiol...
Location
Glauchau | Germany
Job description
Job Advertisement
Leibniz-HKI-11/2024
The Leibniz Institute for Natural Product Research and Infection Biology ( Leibniz-HKI ) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group of Bioinformatics and Microbiology invites talented and highly gifted candidates to apply as
Doctoral Researcher (m/f/div) in Bioinformatics and Microbiology
starting from April 2024 at the earliest for three years
How do microbial pathogens use extracellular RNA and/or extracellular vesicles to manipulate their host during infection? What is the role of interkingdom communication between fungi and human cells during infection? These are the central questions being addressed in a groundbreaking, collaborative project led by Dr. Amelia Barber ( Uni Jena ), Dr. Holger Bierhoff ( Uni Jena ), and Dr. Matthew Blango ( Leibniz-HKI ). This position will be based in the group of Dr. Barber, whose group uses both experimental and bioinformatic approaches to understand fungal infection and antimicrobial resistance.
Aufgaben:
- You will analyze RNA sequencing data and other high throughput data (e.g. ChIP-seq).
- You will predict interkingdom, RNA-based interactions.
- You will generate figures for publication and write scientific manuscripts about your results.
- You will present your results at local meetings and national and international conferences.
- You will work closely with other experimental and computational members of the group.
- You will assist other researchers in the group, such as BS and MS students, with training.
- You will contribute to the friendly, welcoming, and collaborative environment within the group.
Qualifikationsprofil:
- MSc (or equivalent) in bioinformatics, microbiology, biochemistry, computer science, or a related discipline
- Knowledge of statistical methods in the context of biological systems
- Experience with programming (e.g. R, Python, Perl, or C++)
- Knowledge of and experience in working with NGS data and/or RNA structural predictions would be advantageous but not required
- The ability to work creatively and independently towards developing your own research project
- Highly motivated individuals with an interest in joining an interdisciplinary research project and working group
- An integrative and cooperative personality with enthusiasm for actively participating in the dynamic research community in Jena and supporting group research activities
Benefits:
- A highly communicative atmosphere within an energetic scientific network
- The affiliated Jena School for Microbial Communication ( JSMC ) offers an ambitious, structured, and interdisciplinary doctoral training based on top-level fundamental research and offers a comprehensive mentoring program and soft skill courses for early career researchers
- Jena - City of Science: a young and lively town with a vibrant local cultural agenda
- A family-friendly working environment with a variety of offers for families: University Family Office (‘JUniFamilie’) and flexible childcare (‘JUniKinder’)
- University health promotion and a wide range of university sports activities
- Attractive fringe benefits, e.g. capital formation benefits (VL), Job Ticket (benefits for public transport), and an occupational pension (VBL)
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