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Field
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and disease risk factors Investigate new approaches in the analysis of large neurophysiological datasets We are seeking a highly motivated candidate with: A strong master’s degree in psychology
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scattering as well as small-angle X-ray and neutron scattering, also at large-scale facilities. Modeling of these data will be carried out using existing software. The unique combination of complex polymers
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variety of computational tasks, including, but not limited to, mutation calling, bulk and single-cell RNA-seq analysis, and ChIP-seq/Cut&Run datasets; to perform large-scale data integration of single-cell
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. This includes research on psychological assessment, psychometrics, and methods in large-scale assessments. Your tasks We are seeking an international visiting researcher to collaborate on an innovative research
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large cutting-edge institute in the field of theoretical and computational materials physics research. Its focus lies on quantum and functional materials that are relevant for fundamental research and
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, diet, and immune system to investigate their roles in various diseases, including but not limited to cancer, metabolic disorders, and infections. The research design involves the integration of large
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this leadership experience You work independently, strategically, and in a solution-oriented manner, while always maintaining an overview of the big picture as well as methodological details You have strong social
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sequencing, genetic modification, or protein biochemistry. You will work with bioinformatic tools and workflows to analyze sequencing results. Data analysis will include the use of statistical methods
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). TUD Dresden University of Technology embodies a university culture that is characterized
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cyanobacteria and Paramecium bursaria. Image data analysis using AI-based tools and programming analysis scripts. Participation in conferences, presentations, and preparation of publications. Intensive exchange