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untapped potential remains in extracting value from this data. This PhD will explore advanced analytics techniques, including machine learning, digital twin modelling, time series analysis, spectral analysis
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lines; generation of samples for proteomics analysis Data integration and analysis, including transcriptomic, proteomic and library screen data Target validation by CRISPR-Cas9 knockouts in primary AMLs
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, and multi-level data analysis Communicate and collaborate with a research team, including teachers and student assistants Engage in international opportunities for learning and development (i.e
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analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT
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to evaluate. The main research question is how to automatically harmonize the retrieved information allowing a unique analysis and to map them against multiple user-tailored outputs. This is necessary as the
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necessary knowledge and a broad range of skills for the successful completion of the project. Basic knowledge of data analysis or programming and good English skills are desirable. We value independent
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becomes a real challenge to uniquely extract information on their layer properties in order to understand and improve their performance. A way to “break the nanometric barrier” for structure analysis is to
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within a state-of-the-art cleanroom, experimental optical systems and data analysis. This research is ideally suited to candidates with interests in photonics, metamaterials, ultrafast optics
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plans, analysis, and presentation of data as well as other assignments related to scientific development (e.g. writing manuscripts, reviews, and supervising/teaching other fellows). Studies focus
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Lankina (LSE) within the framework of an Einstein Visiting Fellowship. A successful applicant is expected to take over the following tasks - Analysis of the current state of the art research and assistance