Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
at the interface of biological physics, agent-based simulations and machine learning to turn quantitative imaging data into a mechanistic, testable model of spindle positioning. In particular, we expect
-
to evolve advanced, human-centered AI technology to empower human learning, including designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will
-
, physical limitations). Their activities will include: - Design and analysis of mathematical models of multi-agent systems, with an emphasis on stability, controllability, and synchronization. - Obtaining
-
, Associate, or Full Professor whose research and teaching advance core AI and ML theory, foundation models and generative AI, reinforcement learning and autonomous agents, hardware and systems for AI, edge and
-
to design healthier, more active cities? Join the Institute for Risk Assessment Sciences (IRAS) as a PhD candidate “Designing for movement: modelling physical activity in urban environments using Agent-Based
-
). Where to apply Website https://www.academictransfer.com/en/jobs/356666/phd-on-develop-an-agent-based-d… Requirements Specific Requirements A master’s degree (or an equivalent university degree) in
-
to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be employed to achieve an appropriate trade-off
-
thinking, agent-based modeling, and system dynamics, thereby linking advanced AI with methods for analyzing, simulating, and designing complex socio-technical systems. You will design and investigate methods
-
learning with knowledge-based inference, validated by independent experiments and partially supervised by human-in-the-loop systems. A key question will be how agentic AI and foundation models can be
-
four (4) years of post-degree experience in computational systems modeling, simulation, and analytics. Experience with agent-based, biophysical modeling, or multi-scale modeling; OR Experience with