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interests, potentially possible to combine this work with a research education in applied biostatistics Your profile We are looking for two biostatisticians/statisticians with at least a masters degree in
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evaluation of AI for radiological breast cancer diagnosis. Our group has expertise in radiology, biostatistics and machine learning. In addition, we have a strong collaboration with research groups at KTH. Our
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registers and climate data. We are an expanding and exciting research group with a welcoming workplace and inspiring biostatistical assignments for improvement of maternal and infant health and collaboration
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within the last three years, if there are special reasons, your degree may have been completed earlier. Applicants should have a PhD in a medical science such as epidemiology, biostatistics, bioinformatics
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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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Do you want to contribute to top quality medical research? The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas
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Do you want to contribute to top quality medical research? The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas
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or bioinformatics Experience in handling and analysing genetic data Documented experience in epidemiological research, biostatistics, and working with the Swedish nationwide registers Experience in psychiatric
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(IMM) at Karolinska Institutet performs interdisciplinary advanced research within environmental and occupational medicine, toxicology, physiology, epidemiology, and biostatistics with a focus on
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, if there are special reasons, your degree may have been completed earlier. Specific requirements for the position: Doctoral degree in medical sciences, epidemiology, biostatistics, bioinformatics, or a related field