31 coding-theory-"Multiple"-"Humboldt-Stiftung-Foundation" Postdoctoral positions in Sweden
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the position Experience with independent planning, execution and evaluation of experiments, including statistical analysis Familiarity with theory and techniques of chemical analyses or metabolomics is required
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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research in this area. Qualifications Research will focus on signals in the physical layer and is expected to use methodology from communication theory, wave propagation, signal processing, and electronics
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scholarship is an ideal starting point for someone wishing to establish a future cross-disciplinary research lab that integrates theory and experimental research. Specific Qualifications for Project A
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and in vivo model systems, applying multiple omics methods. You will be working with clinical samples, method development and several molecular biology techniques, especially PCR and sequencing as
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illumination. In this project, we will go one step further and develop disentangled latent representations, not just for individual objects, but for full three-dimensional scenes with multiple objects that might
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letter: - Protein expression in prokaryotes and/or yeasts - Experience with multiple protein purification techniques - Development of recombinant protein production protocols
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combines leading expertise and unique know-how in theory, modelling, synthesis, atomic-scale imaging and spectroscopy, and nanoelectronics aiming to unlock the potential of AlN and UWBG materials for next
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are required for the project: Expertise in experimental x-ray imaging Experience in theory and analysis of tomographic data. Excellent written and spoken English. When appointing a postdoctoral researcher, the
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based