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social interaction and their relation to developmental language and social outcomes. The project includes studies across two different locations. The primary location for this position is in Seattle, with
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different operating systems (Windows, Ubuntu). • Perform a regular backup of data and application systems. • Working with other parties (e.g., vendor, provider, ...) for the deployment and
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cortex of mice. We will focus on neuronal micro- and macro-circuits that influence our feeding behavior, which includes the prefrontal cortex with a focus on selection between stimuli of different value
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that process planning has a high potential for automated optimization. Building upon this, you will advance our optimization pipeline and evaluate different optimization algorithms/strategies. What you will do
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workbench for chiplet assembly Generation of FE models for different chiplet configurations using the workflow Research and identification of suitable Python modules for Ansys FE modeling automation Use
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role A research fellow position is available to work on the project “Dynamic and Adaptable
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ultrahigh-throughput microfluidic screening to optimize mRNA for therapeutic purposes. mRNA libraries will be prepared by randomly combining different 5' and 3' untranslated regions (UTRs) identified
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move them between different environments. Perform extraction, normalization and transformation processes for large volumes of data. Integrate and harmonize data from multiple sources. Resolution
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, or computational research Strong programming proficiency in Python with scientific computing libraries Experience with machine learning frameworks Excellent communication skills for conducting seminars