PhD Candidate (f/m/x) - AI/ML Drug Discovery for Brain Diseases

• Analyse disease mechanisms, facilitated by cutting-edge data from techniques like spatial transcriptomics and protein mass spectrometry
• Contribute to the development of graph-based deep learning and foundational modeling methodologies
• Identify and participate in designing the validation of disease targets by understanding tissue state changes and perturbation responses in peripheral blood, cerebrospinal fluid, and brain tissue from central nervous system disease patients, alongside extensive single-cell platform data
• Present your research at international meetings

• Currently pursuing or recently obtained a Master's or equivalent degree in Computer Science, Bioinformatics, Computational Biology, Biology, or a related field
• Demonstrated proficiency in programming languages and workflows used in data science (e.g. Github, Python) and willingness to learn and use deep learning frameworks (e.g. PyTorch)
• Strong interest in contributing to the development of perturbation models, gaining an understanding of the complexities of neurological disorders, and contributing to effective management and treatment strategies
• Demonstrated ability to work collaboratively in a multidisciplinary team
• Excellent, demonstrated communication skills
• Demonstrated scientific curiosity, initiative, and learning agility

Desirable qualifications

• Proficiency in molecular biology and knowledge of modern experimental techniques
• Familiarity with analysing longitudinal biological samples and/or single-cell data analysis
• Familiarity with the target identification steps of drug development or previous experience working with perturbation data