Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
computer science. The candidate is expected to have solid knowledge in most of the following areas: Robotics Control theory Deep Learning & Machine learning Modelling and control of soft/continuum robots Experience
-
, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD
-
, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the intersection of energy systems and markets, privacy and cybersecurity, forecasting, optimization, control, game
-
leading universities and non-academic partners will train 14 doctoral candidates in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL website: https
-
approach is interdisciplinary and combines social-scientific traditions such as organization theory, sociology, science and technology studies, political economy, and social psychology in the analysis
-
analytical skills, including signal processing, statistical learning, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements
-
to advance rural development theory and practice through entrepreneurship. EPHEMERAL explores how entrepreneurs shape rural places over time, considering life-cycle dynamics, evolving local contexts, and
-
and colleagues working with theory that will complement your work with density functional theory, phase-field simulations, and finite element modelling. Qualified applicants must have: Enthusiasm
-
. Knowledge of mechanical design, control system theory, statistics, actuation, sensing, rapid prototyping, and manufacturing. Experience with tools such as ROS, Gazebo/NVIDIA Isaac/Omniverse or CoppeliaSim
-
possible thereafter. The project explores how moral reasons to worry about inequality and poverty are transformed when wealth becomes extreme and aims to build new theory on the morality of extreme wealth