396 data-"https:" "https:" "https:" "https:" "https:" "https:" "University of Exeter" research jobs in Germany
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Field
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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to 10,000 EUR per request Application Papers Please find the application forms and further information on the application procedure here . Application Deadline Please find the updated deadlines
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. Publish and present findings in international journals and conferences. Supervise and mentor junior researchers and students. Profile PhD in Computer Science, Biomedical Engineering, Data Science, or a
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Vitae, including academic achievements and publications (if any) Copies of degree certificates We kindly ask you to refrain from sending a photo as part of the application. Information on how we handle
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(available for download on the following site ). Please complement with your CV, publication list, and recommendation letters. If confidential data exists that would strengthen the proposal, please indicate
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Max Planck Institute for Heart and Lung Research, Bad Nauheim | Bad Nauheim, Hessen | Germany | about 2 months ago
spatial transcriptomics; become a technical expert the group relies upon Conduct rigorous multi-omics data analysis using R or Python; generate publication-quality findings Your qualifications A strong
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extensive alumni sponsorship Application Papers Links to the application forms and further information on the application procedure can be found here . Application Deadline Applications can be submitted
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allowance extensive alumni sponsorship Application Papers Detailed information on the application and selection procedures can be found here . Application Deadline Applications are possible at any time. The
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development for lidar control. Data evaluation is an essential part of the project work to distinguish between natural variability of the observed metals and aerosols and anthropogenic effects. Your
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq