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Field
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labelling and integrated geobiological data analysis. Analytical approaches implemented can include a multitude of advanced molecular, microscopically and geochemical techniques and protocols such as
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colony administration, genotyping, confocal and large scale microscopy, molecular biology techniques (RNA preparation, single cell RNAseq library prep), large scale data analysis. The candidate will
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significant contributions to the experimental work, taking on responsibilities for data analysis. This includes developing relevant data analysis techniques and software, as well as conducting Monte Carlo
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technologies, grid computing and physics data analysis, machine learning, and interactive and collaborative systems. The PhD research fellow will be part of the HVL Robotics Lab , a research and innovation
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be placed on compatibility of the applicant’s professional and personal disposition, with strengths in: Systematic approach Analysis and assessment Implementation Self-development Initiative and
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able to participate in the larger Cosmoglobe project (PI: Prof. Ingunn Wehus), including analysis of archival data such as AKARI and DIRBE, as well as ongoing projects (e.g., COMAP and PASIPHAE) and
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aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD codes. Risk analysis and risk assessments in the process industry. Good
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experience relevant for your further career, including in project management, survey research, content analysis, text scraping, and text mining. The position is specifically designed to help you build up a
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, fluorescence microscopy, or proteomics. Familiarity with image analysis and quantification (e.g., Fiji/ImageJ, CellProfiler). We will also emphasize motivation and personal suitability for the position. We
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fragment separator at RIKEN Nishina Center (Japan). The candidate is expected to make significant contributions to the experimental work, taking on responsibilities for data analysis. This includes