Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
to the design and optimize the metal combustors. Develop and implement image analysis techniques for particle evaporation, fragmentation and alumina condensation. Support project and thesis students working
-
projects from low level hardware interfaces to high level optimized applications mainly in Python and under Linux Increasing the functionality and reliability of the beamlines in order to realize
-
Experience working with computation clusters and managing large datasets Proven ability to develop, maintain, and optimize scientific software Experience with scientific data visualization and related tools
-
methods for optimized data analysis, Machine learning-based image segmentation of tomographic data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models
-
to multiple methods used in financial or actuarial mathematics, such as extreme value theory, inference for stochastic processes, optimization theory, and/or Monte Carlo simulations. Experience in obtaining
-
and optimize the detailed methods to pursue the overall project goals and, after a training period, independently analyze genomic data using machine learning and other statistical methods. All work will
-
. The project aims to tackle key challenges in manganese-based flow battery development, namely low efficiency and rapid capacity degradation. The work duties include: design electrolyte and additives to optimize
-
to polymer building blocks. The work will involve developing suitable bacterial strains using synthetic biology tools for constructing optimal pathways, and protein engineering using rational design and
-
of heuristic models, mathematical programming, machine-learning and multi-objective optimization. Teaching includes basic and advanced courses within the subject, for example in the international international
-
and development centre – an excellent infrastructure to develop and optimize membrane processes from lab to pilot scale. The project is part of COMPEL. COMPEL, "COMPetence for the ELectrification