Sort by
Refine Your Search
-
(microfermentation and quantification of enzyme activity at medium and high throughput, substrates analysis by spectroscopy, chemical composition, etc.) Proteomic and metabolomic analysis Literature review in
-
for biomarkers in 7T images. - Development of artificial intelligence algorithms and models for the processing and analysis of MRI images/spectra, focusing on the detection of tumor tissue and the quantification
-
-criteria, defining their formalization as fuzzy subsets, and characterizing their uncertainty; Integrating Machine Learning algorithms to better account for low-level sensor data (precipitation, wind-driven
-
shortlists of promising molecules with quantitative estimates and uncertainty ranges; and close iteration with experimental partners to validate predictions and refine models. The position also includes
-
, · quantifying uncertainty in causal links, · integrating the resulting models into neural networks (or other machine learning models) to detect and predict anomalies or anticipate failures. The research