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Stochastics and mathematical finance Discrete mathematics and optimisation Discrete geometry Numerical mathematics Applied analysis Mathematics for AI Course organisation The BMS programme is divided into two
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testing. We aim to develop next generation electrochemical energy technologies through holistic views of ammonia/methanol fuel cells and metal and metal ion (Li, Na, Ca etc.) batteries, from the nanoscale
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types of communication on social media and how that affects polarization. You will use an innovative multimethod quantitative approach, such as longitudinal survey research, (automated) content analysis
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to increase data and software interoperability, enabling the automated reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable
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) Documented record of advanced quantitative methods skills in R and Python, specifically Experience with GIS and spatial data analysis Experience with natural language processing or text-as-data approaches
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bench (optical, electronic and mechanical) and multiphysics analysis using high-performance on-site instruments (optical spectrum analyzer, 3D intensity profile, wavefront, RF spectrum, field polarization
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Max Planck Institute for Human Cognitive and Brain Sciences • | Leipzig, Sachsen | Germany | about 5 hours ago
this, IMPRS CoNI offers high performance computing facilities for computational modelling and data analysis. The modules covered ensure a structured and comprehensive approach and provide the important basic
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consideration the elements presented for the last five years of activity falling within the scope of the specific areas of the tender (see Point 1) and will be performed according to the following criteria: 11.1
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framework will be used with advanced causal inference methods – including inverse probability weighting to construct a valid comparison group. The analysis will use the potential outcomes approach to address
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). ----------------- Although it is not essential, experience or knowledge in some of the following areas will be positively valued: programming languages (Python, JavaScript), data analysis software techniques and tools