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, and biostatistics. Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an
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explicitly incorporating the Archaean basement into a time-constrained, multi-scale structural framework. The project integrates: - Regional geological mapping and structural analysis of the Archaean basement
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Are you interested in developing new image analysis and machine learning methods for cancer diagnostics and clinical decision support? Would you like to work in a multidisciplinary team together
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law and is considered grounds for legal action. Additional preferred qualifications: Prior experience with bioinformatics workflows and analysis of large-scale multi-omics datasets (e.g., RNA-seq
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sample preparation, extraction, and clean-up; iii) detecting and identifying contaminants using LC-HRMS; iv) performing semiquantitative analysis; and v) applying effect-directed analysis (EDA) to link
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analysis of the time-resolved crystallographic data in terms of structure and dynamics. You are expected to be involved in all steps of this collaborative project, however, depending on your background and
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Transformer-Based Foundation Model for DNA Methylation in Longitudinal Cohorts.” The focus is on developing next-generation AI models for the analysis of DNA methylation. Using longitudinal data from, among
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experiments, participation in synchrotron measurement sessions, and analysis and interpretation of experimental data. The project combines physical chemistry, electrochemistry, spectroscopy, and instrumentation
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. The applicant is expected to actively perform analysis of spatial transcriptomics and immune clone data, and present results to general and specialized audiences. The data-driven life science initiative Data
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methods for detailed analysis of different RNA molecules in blood samples and contribute to a new research field with strong clinical potential. What you will work on The successful candidate will be