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Field
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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Familiarity with software such as R or Python Some experience
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with (scientific) programming (Python, R or other languages) Comfortable with mathematics and analytical systems thinking Curiosity and willingness to expand their knowledge in related disciplines Very
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proficiency in R or Python for data analysis and modeling. Familiarity with analyzing large-scale healthcare datasets and real-world data. Experience in developing and applying simulation models, including
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computational skills (using R, modelling software, working on a remote linux-based server) and experience in analyzing Next Generation Sequencing data, including PCA, outlier analysis, GO-term enrichment analysis
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fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic
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Python or R A willingness to learn and apply machine learning approaches We offer A versatile and challenging job in a vibrant and world-class research environment operating at an international level
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Familiar with R, Python or other coding languages Experience with HPC clusters and Job Schedulers (e.g. SLURM) Interdisciplinary communication skills and intercultural competence Knowledge and experience in
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(spoken and written). Preferred qualifications Prior experience with 3D cell culture, organoids, CRISPR-Cas9, or imaging-based phenotyping. Familiarity with transcriptomics or basic computational biology (R
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equivalent to a two-year master's degree. Additional qualifications include: Good programming skills in Python, Julia, R or similar, and familiarity with C, C# or C++. Curiosity and interest in future urban
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or willingness to learn programming languages (e.g., Python, R) for handling and analysing clinical data. Additional Requirements: Ability to work independently and collaboratively within an interdisciplinary team