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research pillars, including literature reviews, data collection, and data analysis. Lead the conceptualisation, design, and execution of research studies that align with the Centre’s strategic
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, numerical method, and data-driven/machine-learning approaches, including: · Numerical simulation of kinetic equations: fast algorithms with stability/convergence analysis; · Data-driven and machine
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the “Project knockout” team and conduct laboratory testing of pain, reward, and stress in a newly discovered human genetic knockout model population. Data analysis of large-scale registry data
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genome editing, animal models, histology, microscopy, or next-generation sequencing data analysis will be an advantage. • Good written and oral communication skills, with the ability to prepare scientific
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We are offering a three-year PhD fellowship in pharmaceutical data science focusing on database design for amorphous pharmaceuticals commencing 15 November 2026 or as soon as possible thereafter
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, quantitative data analysis or bioinformatics is an advantage, but not a requirement. We are looking for a curious and enthusiastic researcher who is eager to learn new techniques, work across
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found at: https://ivh.ku.dk/english/ . Project description The PhD student will be responsible for developing a PhD study which is based on activities in the above-mentioned projects and monitoring of
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other x-ray or neutron scattering experiments. Programming, for example use of Python and GitHub. Data analysis, inverse problems and statistical analysis. Mathematical understanding, knowledge of
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12-month, 100%-time postdoctoral associate. This position is intended for candidates with strong training in quantitative epidemiology, data analysis, and population-level disease research, who are
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-based characterization techniques, requiring visualizing, analysis and interpretation of experimental data. The research results shall be published in peer-reviewed scientific journals and presented at