Python programmer állás, munka

• Help build the foundation for next-generation products
• Learn and apply cutting-edge simulation methods
• Receive mentorship from experienced PhD-level experts
• Explore the opportunity to write your master's thesis after your internship or working student role

• Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Modeling deformation fields using Gaussian primitives / Gaussian Splatting or related representations
• Integrating deformation models into reconstruction and alignment methods
• Implementing efficient, differentiable algorithms in Python with PyTorch
• Evaluation on simulated and experimental cryo-ET data

Integrating polysomnography into CAAN studies: Design and implement standard operating procedures for overnight ambulatory and/or in-lab polysomnography across CAAN's longitudinal study and clinical trials, including montage selection (EEG, EOG, EMG, ECG, respiratory effort, airflow, oximetry, body...

• Design and conduct longitudinal analyses linking autonomic measures (cardiac vagal control, sympathetic activity) to health, brain, and molecular biomarkers.
• Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts.

• Design and conduct longitudinal analyses linking autonomic measures (cardiac vagal control, sympathetic activity) to health, brain, and molecular biomarkers.
• Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts.

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

• Support our AI & Algorithm Research team, which develops advanced algorithmic solutions for optical systems.
• Work on the development of a digital twin for optical diffractive networks, leveraging state-of-the-art optical simulation tools and modern machine learning frameworks