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further into development in urban & landscape planning and AEC. The scope may include planning, construction, operation or an approach for better project integration across the full value chain. Proposed
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grades) two potential references, and letters of reference or recommendation (only if available, e.g. from internships, no need to request new ones at this stage of the application process) Please note
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. Knowledge of water treatment processes is desired, but not necessary. Good knowledge of English (spoken and written) is essential. Applicants should hold a MSc degree (or equivalent) in environmental
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subsurface mass and energy transfer processes as well as related power plant processes. We conduct both fundamental and applied research to address a wide range of societal concerns related to geothermal
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experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English
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responses, metabolic alterations or regenerative processes. Preference will be given to applications that develop and use alternative animal models or innovative assays. Strong track record in research, with
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ideas into production-quality code. Processes are lightweight and agile: short goals, rapid iterations, direct contact with instructors and other stakeholders. All of our code is open and freely available
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: graph neural networks, natural language processing, algorithmic learning, fault-tolerance, blockchains, consensus, cryptocurrencies, digital money, central bank digital currency, decentralized finance
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Prof. Dr. Maria Lukatskaya has been leading the Electrochemical Energy Systems Laboratory since 2020. The laboratory focuses on designing electrochemical processes by engineering electrolytes and
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(SCI), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and