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areas: Development algorithms and their software implementation for ROS in C++ and Python with focus on robot navigation and communication. Field deployment and experimental evaluation in harsh
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experience in radar research, developing signal processing algorithms for long-range ultra-broadband Synthetic Aperture Radar systems and short-range FMCW systems. In recent years, breakthroughs in
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comprehensive analysis of complex imaging mass spectrometry datasets (e.g., MALDI-MSI, DESI-MSI) using established computational frameworks Develop and implement novel algorithms and visual analytics for spatial
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interpretation of results. You will also tailor these analyses in response to clinical and researcher feedback, and help develop new algorithms where needed: this may include the incorporation of genomic or other
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backgrounds, detector performance, and physics sensitivities. One concrete example is the use of different codes for simulating critical backgrounds, comparing their predictions and developing methods for how
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can reduce model accuracy, especially when modeling multiple processes that interact across different spatial scales. To address this, the project will develop a new class of raster data-processing
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teaching ability, including a good ability to conduct, develop and lead teaching and other educational activities on different levels and using a variety of teaching methods. An ability to supervise doctoral
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omics data. The candidate should develop, set up, maintain and update bioinformatics pipelines to integrate tumor data from different technologies (including genomics, transcriptomics and proteomics
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to develop an awareness of research ethics. In addition, you will have the opportunity to work on projects, to develop your leadership and pedagogical skills. Throughout your studies, you will be
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omics data. The candidate should develop, set up, maintain and update bioinformatics pipelines to integrate tumor data from different technologies (including genomics, transcriptomics and proteomics