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 (www.dzne.de).
PhD Student in AI for Biomedicine
Code 1342/2024/9
Your role in detail
The group of Prof Sach Mukherjee has an opening for a PhD candidate in the area of artificial intelligence (AI) for biomedicine. Our research efforts center on AI, machine learning (ML), and high-dimensional modelling for next-generation biomedicine. Current methodological foci include deep neural networks for causal learning; robust, scientifically-constrained AI; and high-dimensional learning. Applications span large-scale molecular biology and “omics” as well as precision medicine. The focus of the position is on novel methodology for complex, high-dimensional data.
Your qualifications
We are looking for a highly motivated candidate with a degree in a mathematical or computational field (e.g. mathematics or computer science). A strong academic background and experience in one or more relevant programming languages (Python, R, Julia, etc.) are important as well, as a clear interest in the data sciences (AI, ML, statistics) per se. A strong background in AI, ML or statistics, or related topics (e.g. probability, optimization, stochastic processes, etc.) would be relevant. Prior exposure to biomedical research is not required. Strong scientific communication and writing skills are important.
What our employees value
You will obtain special skills and knowledge for your scientific qualification during your activities at DZNE. The DZNE is an equal opportunity employer. It especially welcomes and encourages disabled individuals to apply.
Applications should consist of a single PDF file including a curriculum vitae, degree transcripts, and two references.
Please submit your application online, by clicking the 'Apply' button
Qualification Type: | PhD |
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Location: | Bonn - Germany |
Funding for: | UK Students, EU Students, International Students |
Funding amount: | Not Specified |
Hours: | Full Time |
Placed On: | 17th September 2024 |
Closes: | 30th September 2024 |
Reference: | 1342/2024/9 |
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