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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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comfortable applying analytical thinking to explore research questions and have programming experience (preferably in Python). You have an affinity with coastal numerical modelling, e.g. AeoLiS, XBeach
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
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nonlinear effects. These nonlinear effects will be generalised via correction terms discovered by machine learning from a large numerical simulated dataset. This dataset also allows for extending the theory
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plus RF and microwave engineering. Hands-on experience with software defined radios (SDRs) like USRPs is considered a plus Statistical signal processing Resource allocation and optimization
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News and Richmond; and numerous Extension offices and research centers . A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Virginia Tech endorses
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-life balance with the possibility of part-time employment, mobile working and flexible working hours Numerous company health management offerings Employee discounts with well-known providers via
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as Physical Geography, Geology, or Engineering Geology, with a numerical background in earth surface processes. Field experience and skills in GIS and programming skills are necessary. The scholarship
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). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system
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numerous support services a family-friendly environment with childcare facilities for your children attractive sports and health facilities (university sports) Application Please send your application with