Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
communication skills, both in person and over the phone. Ability to work independently and as part of a team. Detail-oriented with the ability to manage multiple responsibilities effectively. Strong
-
grids, public clouds, and private clusters for research and software development needs Ability to develop software in multiple programming languages relevant to HPC (e.g. Python, Julia, Rust, C/C
-
description The functioning of cities depends more than ever on urban infrastructures like transportation networks, power grids, water networks, Internet of Things sensors, and analytics platforms that gather
-
is investing in research programs in grid resilience and distributed energy resources in the power grid and grid modernization. The successful candidate will be expected to develop and sustain
-
and Devices · Photovoltaics and Distributed Energy Systems · Rank: Associate professor or Assistant professor 6. Grid Modernization · Power electronics, Power IT and Power systems · Rank: Associate
-
Your Job: This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision
-
that can actively support the national electricity grid. Greenhouse companies currently provide a significant share of the Netherlands’ dispatchable power capacity; as they move away from fossil fuel based
-
Job Description Would you like to shape the next generation of decision-support methods that help wind energy deliver reliable, cost-effective power in an increasingly complex energy system? At DTU
-
energy integration Energy storage systems and grid flexibility solutions Power flow control and intelligent grid management Hardware-in-the-loop (HIL) simulation of power systems Power grid modelling
-
& Solar Power Plants Battery Energy Storage Systems (BESS) Smart Grids & Power Systems Sustainable buildings, communities and cities[EC1.1] Artificial Intelligence & Machine Learning for Energy Digital