Biológus kutató állás, munka

• Developing multi-scale and multi-modal representation learning methods for scientific imaging data (e.g., SEM, TEM, EBSD).
• Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories.

Authentifield Innovation ScientistFor our client, a leading pharmaceutical company based in Basel, we are looking for anAuthentifield Innovation ScientistAuthentifield Innovation ScientistActivities & AccountabilitiesTechnology Evaluation and Implementation: Assess the performance and potential the...

• Developing parallel and distributed algorithms for processing ultra-large 3D images across multiple GPUs
• Designing and adapting scalable deep learning models for segmentation and landmark detection (e.g. U-Net variants, Transformers)

• Development and maintenance of bioinformatics workflows for NGS data analysis
• Exploratory data analysis of large-scale genomic datasets
• Design and execution of independent research projects at the interface of data science and neuroepigenetics
• Contribution to scientific publications and presentations