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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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experience with spatial data analysis using GIS tools or spatial libraries and familiarity with common land-use datasets would be advantageous familiarity with environmental or agricultural economics research
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assistant (prae-doctoral position) in this 4-year role, you will be part of the Quantum Foundations and Quantum Information Theory team led by Professor Časlav Brukner. Your work will focus on research
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between quantum theory and space-time — using modern methodological approaches from quantum information theory — you are very welcome to apply. Your personal sphere of influence: As a university assistant
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23 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire de chimie Research Field Chemistry » Physical chemistry Chemistry » Computational chemistry Researcher Profile First
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profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
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Description The Graduate School Scholarship Program(GSSP) of the German Academic Exchange Service (DAAD) is offering two (2) doctoral scholarships for aspiring PhD students within the framework
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Information Theory team led by Professor Časlav Brukner. Your work will focus on research at the interface of quantum foundations, quantum information theory, and space-time physics. Our research addresses key
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Information Theory team led by Professor Časlav Brukner. Your work will focus on research at the interface of quantum foundations, quantum information theory, and space-time physics. Our research addresses key
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The Centre for Data Science (CDS), the Australian Institute of Sport (AIS) and Queensland Academy of Sport (QAS) are leading a consortium of government and industry organisations in sports, sports and