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colloid chemistry. Experimental laboratory experience. Strong analytical and problem-solving skills. Excellent written and verbal communication skills in English, with the ability to collaborate effectively
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Norwegian course, where 120 credits have been obtained at master's level. Strong analytical and problem-solving skills with the ability to work independently and collaboratively in interdisciplinary research
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for a PhD education. You must meet the requirements for admission to the Faculty of Engineering Doctoral programme: PhD in Engineering (Doctoral Programme) 3 years - Trondheim - NTNU Strong analytical
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etc; Candidates with multidisciplinary backgrounds are welcome. · Strong skills in computational and data analytical methodology development and implementation; experience in machine learning and deep
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clinical decision-support systems A creative, analytical and solution-oriented mindset, with enthusiasm for interdisciplinary research in personalized medicine and women's health Strong communication skills
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biological techniques (SSR, GC-EAD, EAG). •Experience in analytical chemistry (GC-FID, GC-MS). •Experience in or willingness to learn statistical data analyses, data processing and analytical chemical analyses
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Topic: The rapid advancement of digital health technologies presents unprecedented global opportunities and challenges in public health and healthcare, data management and analytics in prevention
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options, epidemiology and associated risk factors of a healthy cardiovascular system. In addition, it provides an understanding of basic research methods, analytical tools for cardiovascular studies and
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. Comparison with known analytic methods and established Markov models will be made wherever possible. Expected outcomes include a unified non-Markovian framework for time series analysis, a suite of relevant