Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
of the position) a MSc degree in computer science or a closely related field (e.g., mathematics) - The selected candidate is interested in declarative problem solving, combinatorial optimization, knowledge
-
experienced chemists, the CSF’s mission is to enable world-class research by providing comprehensive assistance with advanced technologies, and an optimized laboratory infrastructure that facilitates safe
-
experimentation Bayesian optimization and active learning contextual bandits, reinforcement learning and online experimentation causal inference and treatment-effect heterogeneity statistical learning and machine
-
research covers a wide range of topics from radiobiology, radiation physics and space research to radiation therapy. The radiobiologic modelling group focuses on developing strategies and mathematical models
-
for pricing complex derivatives and risk measurement, numerical optimization algorithms for portfolio optimization and calibration of financial models. We will focus on practical applications to real-world
-
Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with probabilistic
-
-dependent uncertainty, convex optimization, and combinatorial optimization. The postdoctoral researcher will have the opportunity to develop new mathematical models, reformulation techniques, and algorithms
-
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
-
Fabrication and characterization of van der Waals heterostructure devices Optoelectronic and transport measurements, including at cryogenic temperatures Development and optimization of graphene-based mid
-
methodologies for assessing Local Energy Communities. Contribute to the integration of market and economic considerations into mathematical optimization models. Analyze electricity market structures, pricing