Sort by
Refine Your Search
-
out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context
-
the following areas: numerical analysis of PDEs (with deterministic and/or stochastic methods), Gaussian Random Fields, mathematical foundations of deep learning, functional analysis and measure theory
-
Kleitz at the University of Vienna mainly focusses on the development of nanoporous materials, their characterization, and their applications in numerous fields, such as catalysis, adsorption, bio- and
-
of novel strategies for neuronal analysis in health and disease and optimizing novel methods. The project is funded by My Name’5 Doddie Foundation, as part of their Catalyst Awards. Using iPSC-neurons, our
-
to participate in collaborative work Desirable criteria Ability to use computer algebra software (e.g. Mathematica or Maple) for symbolic computations Good numerical skills Experience in field-theoretical methods
-
and of research methods and techniques to work within established research programmes. Applicants should be able to demonstrate a successful track record in clinically-relevant psychological research
-
to apply. The position will be under the direction of Professor Anthony Yeates and will primarily involve optimisation of a numerical magnetic field model for the global solar magnetic field against