-
, including smart cities and residential self-consumption, backup power in isolated areas, energy management systems, and grid balancing for renewable power integration. A key line of work is the creation
-
that accelerate excited-state simulations, integrate them into open-source scientific workflows, and validate their accuracy and performance on energy-relevant molecular and materials systems. You will also create
-
improvements in energy efficiency, latency, and system scalability compared to conventional signal processing pipelines. The research explores a range of emerging architectures, including: RF frontends
-
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-PIP How to Apply Application Deadline: Applications to this opportunity are accepted throughout the year and are
-
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc How to Apply A complete application consists of: An application, including academic history, work history
-
modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
-
statistical learning frameworks to decipher single-cell and spatial transcriptomics data, with the goal of uncovering cellular and tissue dynamics underlying cancer, inflammation, and tissue senescence
-
to the society. Renewal is based on performance and the availability of funding. Duties Develop and design novel computational and AI methods for single-cell genomics data analysis, protein design, etc