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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
. MS Office, Excel, PowerPoint, GraphPad) and are fluent in English and German (written and spoken). You work in a solution-oriented and structured way, like to take responsibility, and are open to
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in all aspects of program needs. Oversee programming model and implementation in part by evaluating and approving on-site programming to ensure a diversity of academic, social, and cultural programs
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candidate to develop Machine Learning models and frameworks for time series analysis, aimed at understanding how the human brain encodes information. This cross-disciplinary project is a high-level
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modeling. Successful design of solutions also requires knowledge about the policies, functional processes and procedures, and roles of the University. The scope of tasks to be performed spans all project
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plague outbreaks in Eurasia between 1300 and 1900 CE. A short description of the project can be found here: https://www.synergy-plague.org/research/introduction/. The project is funded through the European
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in statistical modelling is an advantage. The project involves close interdisciplinary collaboration between statisticians and NLP researchers at Integreat. The position is also affiliated with
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in the μ-opioid receptor. The PhD candidate will: • generate high-resolution models of wild-type and R181C mutant μ-opioid receptor based on existing crystallographic data and perform molecular
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challenging for classical computing architectures. Some of your responsibilities will include: Design and develop mixed-signal circuits for implementing ONNs. Modeling, simulate and benchmark different
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analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency
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come from one of the following countries: https://www.ugent.be/nl/onderzoek/financiering/bof/dos/countrylist.pdf More information about the scholarship: https://www.ugent.be/en/research/funding/bof/dos