Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
Languages English English English Researcher in machine learning modeling of human physiological models Apply for this job See advertisement About the position Position as Researcher available at the Center
-
well as candidates with a background in machine learning methods. The PhD programme will straddle the boundaries between the field of wave modelling and the general field of machine learning, and we will set up a team
-
”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
-
advanced modeling and simulation methods than those used in current structural design. There is a potential of significant reduction in material used in large building designs. This leads to reduced CO2
-
, machine learning techniques, and programming is highly desirable. Genuine interest in deep graph neural networks models. Personal characteristics To complete a doctoral degree (PhD), it is important that
-
relevant background within control, building, or HVAC engineering. A background in applied mathematics can also be relevant if there is a strong focus on data-driven modeling, machine learning, and control
-
relevant experience in the development and deployment of machine/deep learning models as well as the use of remote sensing data You must have relevant experience in the development of hydrodynamic and water
-
Experience in computational cardiovascular biomechanics Experience in medical image segmentation Experience in Python programming or a similar programming language Experience with machine learning models Good
-
, training deep learning models to adapt designs to boundary conditions, and integrating FEM workflows within parametric modeling environments like Grasshopper. The candidate will contribute to building a
-
centered around a unique, open-source digital platform enriched with data and powered by domain knowledge-based advanced machine learning and artificial intelligence capabilities. By introducing a Digital