Sort by
Refine Your Search
-
machine learning to objectively detect changes associated with disease progression, thus identifying features that reliably predict malignant change. Objectives: Evaluate histo-morphological features
-
in human-AI interaction to join a research team focussed on studying learning and decision-making in humans and machine learning systems. The Human Information Processing (HIP) Lab is headed by Prof
-
to develop a novel distributed digital twin framework. They will have skills in distributed artificial intelligence (AI), machine learning (ML), and digital twin, and strong knowledge in computer networking
-
undertaking field, and laboratory postharvest storage trials. You will have proven experience in analytical technologies (i.e. HPLC, LC/MS) and data analysis (Genstat, R, or other machine learning tools) and
-
analysis (Genstat, R, or other machine learning tools) and interpretation. Spanish language skills are desirable but not essential. Additional Requirements are willingness and ability to travel, as the role
-
: Earth Sciences, Bioscience, Future Propulsion and Power, Synthesis for Biology and Medicine, Modern Statistics and Statistical Machine Learning, Mathematics of Random Systems, Medical Sciences