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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as
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08.04.2025 Application deadline: 15.05.2025 PhD Student (m/f/d) in Privacy-Preserving Rare Disease Analysis Location: University of Tübingen, Computer Science, Tübingen, Germany Duration: 3 years
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analysis of mobility behavior, the application of agent-based models and road space analysis, particularly for road safety. Research on walking and cycling as a cross-cutting issue has a high priority in all
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for data analysis and experiment automation (Python preferred) Excellent English communication skills (written and verbal) Demonstrated ability to work in interdisciplinary and collaborative environments
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computer science. The Research Groups of Dr. Aydan Bulut-Karslioglu and Dr. Helene Kretzmer invite applications for the following open position available from September 1st , 2025: Joint PhD Student (f/m/d
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. Engage in data analysis and collaborate with computational scientists. Your qualifications: MSc or equivalent degree in Molecular Biology, Genetics, Biochemistry, Epigenetics, or a related discipline
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of functional and phenotypic assays. Findings from these studies will be validated in vivo and incorporated into an integrated analysis framework relating the experimental data back to clinical
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Description We are seeking a motivated PhD candidate for a PhD thesis in bioorganic chemistry, focusing on the chemical synthesis of multi-fluorescence labelled DNA and PNA conjugates, conjugation
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, data collection, and data analysis as outlined in the research plan and collaborate with others. Collaborate with biostatisticians or data analysts, if required, to interpret and analyze complex data
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. We develop fast meteorological sensors (especially for our UAS), calibration methods and software for data analysis. Currently, we are looking for a PhD student. The tasks for the position in