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Description Within the Collaborative Research Center “Wave phenomena – analysis and numerics” (CRC 1173) we are currently seeking to recruit, as soon as possible, a Doctoral Researcher (f/m/d – 75
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. Expertise is required in the specific area of Alzheimer's Disease and related dementia, genome-wide association study data processing and analysis, and whole genome/exome sequencing. Applicants must have a
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methods of linguistic data collection and analysis and can therefore use these methods in a critical and reflective way. All doctoral students will receive individual supervision from two faculty members
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10.01.2022, Wissenschaftliches Personal The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d) for performing fundamental research in the frame of the project DrawOn funded by the Bavarian...
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an integrated approach that combines spatial analysis and field-based data collection, this project will assess how canopy cover varies across walking routes in Reading and which communities benefit from
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. Such superlattices are the key element for many prospective applications, including light-emitting diodes (LEDs) and electro-optical modulators. Time-resolved X-ray diffraction. In this project, we want to understand
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. Such superlattices are the key element for many prospective applications, including light-emitting diodes (LEDs) and electro-optical modulators. - Time-resolved X-ray diffraction. In this project, we want
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evaluation, policy advocacy, or better understanding the contexts and causes of such abuse. The student will use advanced data science and applied statistics to enable combined analysis of different modes
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning
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manufacturing using single cell omicsSupervisors: Colin Clarke and Niall BarronAbout the project: The study of cellular biology has been transformed by single cell analysis. Rapid technological advances in areas