174 algorithm-development-"University-of-Surrey" positions at Nature Careers in Germany
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hours per week), based in Berlin. Your Tasks Development of software for the analysis, management, and interpretation of omics data Selection and benchmarking of algorithms, libraries, and tools
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“Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary
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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
Evolution or Computational Biology (salary grade 13 TV-L, 100%) to commence on January 1, 2026. The position will initially be filled for three years. In case of a positive evaluation, the position can be
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Are you ready to lead a cutting-edge Genomics Core facility while developing state of the art genomics methods? Join us at EMBL! We are seeking talented scientists to develop and lead a cutting-edge
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& Development (f/m/d) The position (pay grade E 14/E 15 TV-L, depending on leadership experience, publication record and previous acquisition of extramural funding) will spearhead pre-clinical disease-model
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) for the project: Uncovering the evolution of metabolic interactions in intrinsically disordered peptides Project description While enzymes have specific binding pockets with well-known interaction residues
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-body positron emission tomography (PET) with magnetic resonance imaging (MRI). In conjunction with the development of algorithms, dedicated software and hardware-based simulations will be developed
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on the creation and application of predictive simulation models Collaboration on the development of data processing and fusion algorithms Collaboration on the virtual modeling of marine structures Conducting and
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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume