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development. You have experience in medical statistical data software analysis (using R, STATA or similar), as well as integrative analysis of molecular data in relation to clinical datatypes, such as
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microscope), signal transduction , and3D cell culture Experience with data analysis and visualization (e.g. R environment and Cytoscape; Imaris) At least one publication in relevant peer-reviewed international
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microscope), signal transduction , and 3D cell culture Experience with data analysis and visualization (e.g. R environment and Cytoscape; Imaris) At least one publication in relevant peer-reviewed
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grasp of spatial statistical methods in R is considered highly advantageous. Excellent communication skills are required, with proficiency in English and preferably one of the Scandinavian languages
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-reviewed publications relevant to network modelling, network theory and/or network meta-analyses. Fluency in programming as needed for network analyses (e.g., R/python) Strong analytical, organisational, and
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learn new advanced analysis techniques (e.g., in Matlab, R, or Python) if relevant for the task. Write up research results in the form of journal articles. Participate in and co-arrange national and
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, Medicine, Pharmacy, Epidemiology, or a related discipline • Strong interest in epidemiological methods, data analysis, and coding (e.g., R, Stata, or similar) • Interest in women’s health, fertility
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for national and international research grants and make important research contributions. Thrive in both teaching and research roles. Establish effective industrial R&D collaboration. Prior experience in
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-years of work experience) related to data science, bioinformatics, computer science or within natural sciences Excellent programming skills, preferably in Python and/or R Good software engineering
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using software such as R, Stata or the like. Have knowledge of survey design and sampling techniques Be engaged, proactive, cooperative, be able to work independently, showing awareness and confidence in