Sort by
Refine Your Search
-
, enabling recommendations that evolve with an individual’s goals, constraints, and market conditions over time. 2. LLM-Agent Simulation for Organizational Modeling Design multi-agent simulation environments
-
intelligence (e.g., AI-powered digital twin simulations). Together, these approaches enable scalable, real-time decision-making in complex environments, while explicitly capturing trade-offs between operational
-
and M3S research ecosystem, fostering a collaborative and interdisciplinary research environment. Requirements A doctoral degree in Computer Science, Machine Learning, Statistics, Mathematics, or a
-
, or optoelectronic) Experience with industry-standard design tools (e.g., Cadence, Synopsys, KLayout, or similar) is highly preferred. Strong ability to work in a team environment and collaborate across design
-
comprehensive and engaging research and educational environment in the areas of statistics and data science. We invite applications for Departmental Postdoctoral Positions. These non-tenure track positions
-
, privacy, and inclusion in AI-supported learning environments. Scholarly Dissemination – Publish findings in high-impact journals and conferences across AI, education, and human–computer interaction
-
, metamaterials, vibroacoustic and solid mechanics. 3. Proficiency in programming languages and environments such as Python, MATLAB, or C++. 4. Demonstrated expertise in inverse problem modelling and acoustic
-
commitment to providing a supportive intellectual environment where members can learn, grow, and contribute to solving a pressing societal problem. Optimization of antimicrobial use has been recognized as a
-
imaging, signal processing, or machine learning. Hands-on experience with ultrasound systems, particularly Verasonics platform is preferred. Familiar with programming languages and environments such as
-
research that builds breakthrough new capabilities for AI-enhanced human-robot collaborative execution of tasks that involve sophisticated spatial reasoning over unstructured, physical environments (such as