Sort by
Refine Your Search
-
GIScience, geoinformatics, spatial data science, spatial analytics, or a related field; experience with diverse spatial analytical methods; strong programming skills (e.g., Python) and version control
-
, urban analytics, geoinformatics, or a related field; experience with foundational AI model development/fine-tuning and machine learning and/or deep learning; strong programming skills (e.g., Python
-
engagement and participatory research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific
-
, lipidomics, and proteomics. Experience with multi-omics analyses is an advantage; Basic proficiency in data analysis using R, Python, and/or Matlab, with a strong interest in computational methods
-
assessment. Programming and data-analysis skills in a reproducible scientific workflow, for example using Python or comparable tools, and experience with GIS-based spatial analysis. The ability to work
-
case-study research; Strong skills in building and managing complex relational datasets; Proficiency in Python, R or comparable analytical languages and software; Proficiency in the use of large-language
-
skills in Python, R, or similar languages. Self-starting and collaborative attitude. Preferred qualifications and experience AI/ML applications: applying machine learning or AI to integrate, discover
-
transformers, self-supervised learning, foundation models, autoencoders or related architectures; • strong programming skills in Python and experience with a deep-learning framework such as PyTorch