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role in applying advanced imaging methods for processing and evaluating PET, MRI imaging data, performing statistical analyses, and preparing scientific manuscripts under supervision. The group provides
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, the applicant must have: A doctoral degree in medical epidemiology or an equivalent field. A formal education in statistics and epidemiology. Experience in handling large register data, excellent data management
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or higher. You will be responsible for performing statistical analyzes regarding the accuracy of the AI algorithms compared to registered cancer diagnoses and compared with the radiologists
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-MS/MS is required. Previous experience in affinity purification and good analytical and statistical skills, as well as handling of human samples, is meritorious. Experience in primary cell culturing
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leverage computational methods, statistical models, and machine learning to dissect and interpret vast datasets to uncover novel insights that can lead to improved treatment strategies. Key Responsibilities
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are looking for highly motivated candidates with a Ph.D. in epidemiology, data science, or statistics – or who can demonstrate via publications the acquisition of the necessary experience. Individuals with
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/systems medicine, and data analysis. Knowledge in statistical methods. Ability to interpret data in a biological context. Excellent communication and team work skills. Fluent in English language. Additional
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leverage computational methods, statistical models, and machine learning to dissect and interpret vast datasets to uncover novel insights that can lead to improved treatment strategies. Key Responsibilities
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, epidemiology, biostatistics, public health, ageing research or a closely related field. Strong experience with registry-based research and statistical methods for observational data analysis is required. Data
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management as well as experience of data collection. It is also meritorious that the applicant has knowledge in data management and quantitative statistical analysis, scientific publication, and good IT skills