Sort by
Refine Your Search
-
framework that combines first-principles modeling, machine learning, reduced-order techniques, and computational fluid dynamics. The project will deliver the next generation of predictive tools for the design
-
optimization algorithms, machine learning, explainable AI and interactive visual interfaces, enabling patients and healthcare professionals to understand, steer and collaborate with AI-supported decision tools
-
analysis. Experience with machine learning. Basic understanding of immunology. Key personal characteristics You are enthusiastic and curious about scientific research. You like learning new
-
Reference Number ZAP-2026-81 Is the Job related to staff position within a Research Infrastructure? No Offer Description You develop a research programme in the field of cryptography and computer security
-
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
-
practical experience in the implementation of machine vision systems Fluent in English, for both written and oral communication Enthusiastic team player Openness to learn the basics of plant growth Welcome
-
or equivalent experience in machine learning or a related quantitative field (Computer Science, Artificial Intelligence, Statistics, Mathematics, Physics, Computational Biology/Chemistry). Candidates will be
-
for society. With the launch of VIB.AI, we are expanding our mission to harness the power of artificial intelligence for life sciences research, innovation, and impact. We are now looking for a Machine Learning
-
sensing, advanced signal processing, machine learning, and longitudinal behavioral analysis to establish clinically meaningful digital biomarkers of eating behavior. These biomarkers will quantify fine
-
. You have excellent computer science skills (python, git, linux, ROS, etc.) . You have hands-on experience with machine learning frameworks such as PyTorch. You have strong analytical skills to interpret