Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD position - "Smart preparation of air pollutant satellite retrievals for optimizing emission inventory data" within the HDS-LEE
-
optimization of new imaging technologies, workflows and applications, including integration of new hardware and software into the platform. ● Contribute to ABBE microscopy and image-analysis courses, workshops
-
doctoral researcher(PhD student) with a strong background in probabilistic machine learning, statistics, applied mathematics, computer science, or a related field, and strong programming skills, to work
-
NAS that considers accuracy, latency, energy, and carbon at the same time. Delivering a carbon-aware NAS framework that generates Pareto-optimal model architectures and model libraries whose variants
-
to develop a physics-based rational approach to optimal parameter reconstruction from diffraction data from designer multiple scattering structures, designed for, e.g., measuring lithography performance in
-
an advantage: Good knowledge of mathematical optimization (e.g., mixed-integer linear programming, stochastic programming, meta-heuristics) Knowledge of machine learning and/or AI methods Experience with
-
) optimization theory, numerical analysis, and applied mathematics. Our Research Interests: The AI + Quantum Group focuses on the frontier of AI + Quantum—the deep integration of artificial intelligence with
-
. MAJOR RESPONSIBILITIES: • Facilitates student learning by delivering assigned classes in accordance with College policy and course objectives. • Makes optimal use of available technology to enhance
-
analysis, time-series forecasting, optimization, and related methodologies to support strategic planning and executive decision-making. Exploratory Data Analysis & Methodology - Conducts exploratory data
-
first author), with strong ML/AI components include: https://www.biorxiv.org/content/10.64898/2026.03.04.709438v2 https://link.springer.com/article/10.1186/s13059-024-03309-4 https://www.cell.com/cell