Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
) Experience with modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow) Background in at least one of the following: graph learning, scientific computing, surrogate modeling, or ML theory Interest in
-
The AITHYRA-CeMM International PhD Program in AI/ML, Molecular Technologies and Systems Medicine Do you want to work in a creative, free-minded scientific environment at the interface of life
-
analytics, mathematical modeling for real-time applications, process automation, and control of complex dynamic systems for industrial use. Within VAC, the Competence Unit Assistive & Autonomous Systems (AAS
-
analytics, mathematical modeling for real-time applications, process automation, and control of complex dynamic systems for industrial use. Within VAC, the Competence Unit Assistive & Autonomous Systems (AAS
-
location in Vienna we are seeking a: Your qualifications as an Ingenious Partner: Completed technical Master’s degree in the field of data science, computer science, applied mathematics, transport planning
-
to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
-
solutions and data processing pipelines for computational modeling, including data analysis and preparation of results for publication. You sign a doctoral thesis agreement within 12-18 months and complete
-
the complex drivers of landslide risk in rapidly urbanising tropical cities. The project will develop a hybrid modelling framework combining process-based and statistical methods to examine causal feedbacks
-
interest in using computational methods such as cognitive and psychophysiological modeling, (Bayesian) statistics and optimal experimental design, and agent-based modeling to address problems in
-
applied or computational PDEs, who apply their expertise to address contemporary societal challenges. Areas of application may include, but are not limited to, climate modeling, ecology and biodiversity