Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
on optimization) and in general be keen on using mathematics to model real problems and get insights. He should also be knowledgeable on machine learning and have good programming skills. Previous experiences with
-
suitable data models [CSC+23]. Objectives As far as the design of efficient numerical algorithms in an off-the-grid setting is concerned, the problem is challenging, since the optimization is defined in
-
the world and there is an urgent need to have better prognosis and predictive biomarkers, in order to improve the optimal care of these patients. Many existing therapies lead to an improvement of the overal
-
setup, process optimization, and safe, efficient upscaling strategies across various research projects. This position is ideal for someone with a solid understanding of chemistry and polymer science
-
the optimization and development of new protocols and applications; Prior experience with rodent experimentation, with a Function A / FELASA B certification or equivalent; Experience in services-oriented functions
-
of quantitative methods for data processing and analysis, optimization, scientific programming and economic analysis, in some of the following areas. The main tasks will be : * Global economic analysis
-
) — to join our team. You will be directly involved in developing and optimizing ion beam processes to improve device performance in MRAM and magnetic sensor applications. Beyond R&D, we are looking for a
-
on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate
-
data to refine objective measures of neural function and improve clinical strategies for hearing aid optimization in this population. References: [1] A. Starr, T. W. Picton, Y. Sininger, L. J. Hood, and
-
analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and