DZNE is a world-leading, internationally oriented center for cutting-edge research into diseases of the nervous system. With its outstanding research personalities and state-of-the-art infrastructure, it offers the best conditions for publications and results at the highest level.
Around 1,200 employees at 10 locations in Germany are working together on new approaches to better understand and effectively combat diseases such as Alzheimer's, Parkinson's and ALS.
That is our goal - maybe soon yours too? Become part of the DZNE and support us in realizing our research strategy!
PhD Candidate (f/m/x)
Code: 1309/2024/4
Your role in detail
with a focus on disease mechanisms of self-templating protein aggregates.
The laboratory led by Prof. Ina Vorberg studies cellular mechanisms of protein misfolding and intercellular spreading of pathologic protein aggregates associated with neurodegenerative diseases. We perform biochemical and cell biological analyses and use state-of-the-art technology such as automated image-based high content screening (Liu et al., Nat Commun 2021, doi.org/10.1038/s41467-021-25855-2; Liu et al., Nat Commun 2023, doi.org/10.1038/s41467-023-40632-z).
Your qualifications
We are looking for a PhD candidate with excellent practical and theoretical skills and a strong interest in cell biological aspects of neurodegenerative diseases. The successful applicant should hold a Master in cell biology or related fields. Experience in research on neurodegenerative diseases, virology, cell-based screening assays and/or image analysis would be an advantage. The candidate should be able to work independently and have excellent team working skills. A written and oral command of English is essential.
We offer
- A highly relevant research topic
- A cutting-edge infrastructure
- An international environment and excellent working conditions
- Employment, payment and social benefits are consisten with those at other research institutes
- The position is initially available for 2 years with option for extension
Interested candidates should send their application (including CV, sample of publications, a summary of research interests and three references) as a single pdf file via the link below.
