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- University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging
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Field
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data analysis. Additionally, through a planned cohort study, you will gain experience in translating laboratory findings into real-world health applications. Key Responsibilities: • Characterizing metal
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measured health data such as heartbeat or activity measurements of wearables, will increase. The processing and analysis of such complex data is one of the greatest challenges for life sciences, and in
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. The supervisor from Giessen/Hohenheim typically visits the home country of the PhD student at the beginning of the data collection effort. Data analysis and writing (20 months): After returning to the university
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and experience in both experimental molecular biology and data analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial
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duration 6 semesters Beginning Other Additional information on beginning, duration and mode of study Beginning is in January each year or individually later. Application deadline There is one application
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closely with partners at TUD on performance analysis and validation. To be qualified for this position, you should have ▪ Excellent master’s degree in Electrical Engineering, Communications Engineering, or
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biochemists developing the labeling agents, data analysts developing analysis algorithms and physicists developing hardware. The candidate The candidate should have a firm base in in vivo imaging and cell
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experimental molecular biology and data analysis. Doctoral candidates can specialize in genomic and molecular biology techniques, as well as in algorithms, statistics, and artificial intelligence for molecular
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(water, air, sediment, carbon, nitrogen and pollutants), the reconstruction of past environmental conditions and the analysis and modelling of the consequences of interventions in biogeochemical cycles
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experimental research is desirable, preferably complemented by strong quantitative analysis and enhanced AI skills. The successful candidate will work closely with Dr. Tim Fütterer, Prof. Dr. Ulrich Trautwein