Phd Position in Disease Evolutionary Ecology

vor 7 Monaten


Berlin, Deutschland Leibniz-Institut für Gewässerökologie und Binnenfischerei Vollzeit

Funded by the prestigious HORIZON-MSCA-2022-DN program of the European Commission, PHABB unites eight European institutions alongside the University of Aberdeen, thanks to co-funding by UK Research and Innovation. Collaborating with several industry partners, our mission within PHABB is to cultivate the next cohort of researchers and engineers poised to address the intricate biological and evolutionary mechanisms underpinning microbial community dynamics, virulence, and host specificity of pathogens targeting both beneficial and detrimental algae. Our overarching goal is to pioneer novel strategies for disease management in seaweeds and combatting harmful algal blooms. Situated at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) in Berlin, the doctoral project within PHABB aims to unlock the mysteries surrounding harmful algal bloom (HAB) pathogens. Our objectives encompass identifying pivotal factors influencing disease dynamics (including anthropogenic stressors, such as elevated temperature and various pollutants), evaluating adaptation to novel environments through experimental evolution, and exploring the significance of HAB diversity in pathogen resistance. Employing a diverse array of methodologies, including experimental assays, field collections, metabarcoding, and transcriptomics, we aim to illuminate the intricate interplay between algae and their pathogens.

**Your tasks**:

- Designing and executing laboratory experiments focusing on various HAB species and their pathogens
- Analysing field plankton samples, employing microscopy and cutting-edge metabarcoding techniques
- Isolating and processing RNA/DNA extracted from both HAB species and their respective pathogens
- Publishing in scientific journals and conference presentations
- Active participation in PHABB Doctoral Network

**Your profile**:

- Master’s Degree in Biology or related field
- Demonstrated experience in experimental work
- Experience with molecular/genomic techniques would be advantageous
- Strong statistical or bioinformatic skills
- Collaborative team player
- Effective communication skills in English, including scientific writing

**Eligibility**:
**Our offer**:
**Are you interested?**:



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