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Field
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overactive bladder (OAB). Ideal candidates will have a Ph.D. in a relevant biological or computational field, with strong analytical, laboratory, or multi-omics skills, and a passion for advancing women's
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independent research activities in the field of AI in education and learning analytics with the aim of obtaining a doctorate Teaching or supervising students' final theses Requirements Good to very good
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written and verbal presentation ability Ability to work in an accurate and interdisciplinary manner, independently and as part of a team Excellent analytical skills Importance will be attached to personal
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understanding of microbiology Excellent written and verbal presentation skills in Norwegian or another Scandinavian language Personal characteristics Excellent analytical skills Motivated to conduct research
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, biomedical engineering, neuroscience, physics, or related field • Strong interest in vision science and technical aptitude • Solid analytical abilities with experience in image analysis and/or human
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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems
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and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data
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collaboration skills. Effective analytical and problem-solving abilities. Ability to manage multiple projects and meet deadlines. Proficiency in research methodologies and data analysis. Ability to work
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preparation and laboratory analysis including plant and animal tissues, water and soil; glassware washing; documentation of analytical results and quality control; general group and laboratory operations tasks
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securing well designed and well executed analyses of food? Are you eager to take on the challenge of improving analytical techniques in this field using state-of-the-art measurement systems such as LC-(HR)MS