-
for pattern recognition and data integration Training in quantitative data analysis, including time-series analysis, multivariate statistics, uncertainty assessment and hypothesis testing Ability to design and
-
(Jiang et al., 2023). The successful candidate will use cutting-edge cryo-EM, biochemistry, and cell biology to (1) visualize higher-order IFT train assemblies, (2) dissect cargo recognition and transport
-
Artificial Intelligence with a primary focus on Computer Vision, pattern recognition, and visual generative modeling. CVI2 offers the opportunity to contribute to a diverse portfolio of projects, including
-
spectral imaging, lifetime data, or multi-channel image datasets. Solid background in chemometrics, machine learning, or deep learning, particularly for classification, clustering, or pattern recognition in
-
domain-independence with the goal of incrementally moving from a specific chemistry knowledge graph dedicated prototype to a domain-independent solution. Design a generic and declarative method for tool