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at the Faculty of Mathematics at TUD. Tasks: generation of hyper uniform patterns (point, scalar and vector fields) application of topological data analysis tools such as persistent homology and graph statistics
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extraction techniques. Strong knowledge of protein science and its application in food systems. Proficiency in analytical techniques relevant to food and protein characterization. Skills in statistical
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and next generation sequencing data. Graphical output of data analysis for publication demonstrated experience in statistical analysis and designing computational methods and tools, including prior
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experiments will be mainly performed in rodents, you hold a FELASA certificate (or equivalent), or you are willing to obtain one. You have basic knowledge of statistical tools. Your teaching competences are in
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system analysis or comparable Initial experience in optimization or statistics is an advantage Initial experience of an object-oriented programming language (e.g. Python, Matlab) and MS Office Analytical
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strongrecord of scientific productivity is preferable. The successful applicant must have a Ph.D.in Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering orrelated field at the start of
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samples. -Applying Gross's (2015) process model of emotion regulation to the understanding of ADHD. -Exploring the definition/structure of ADHD statistically, and whether emotion regulation problems should
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research in the areas of forest planning, forest remote sensing, forest inventory and sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation
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models on edge devices Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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the following modes of study: Subject restrictions This funding is available to students undertaking study in: Criminology Economics Law Philosophy Politics Social Anthropology Social Statistics Sociology