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interpret multi-modal data (e.g., omics, images, etc.). The ideal candidate has the following skills PhD or MSc in computational biology, statistics, mathematics, computer science or related topics Advanced
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with a range of multi-omics data types and associated bioinformatic algorithms/statistics. Familiarity with methods for computational modeling of metabolism (constraint-based, kinetic modeling, etc
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methods and techniques to study and characterize sound and vibration on the millimetre and sub-millimetre scale as well as statistical methods to evaluate metrological aspects such as reproducibility
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internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching
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cytometry. Preclinical cancer models to determine T cell therapy efficacy, in vitro and in vivo. Apply analytical and statistical tools to identify patterns in large datasets. The candidate should demonstrate
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and using mathematical and statistical models on marine resources. The scholarship is part of a project financed by the EHFAF program. The project will be carried out at DTU Aqua in collaboration
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unique and internationally recognized academic department with 433 employees and 10 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct
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vibration in miniature audio systems? In this project you will learn and develop experimental and statistical methods for small hearables and their millimetre and sub-millimetre scale components. PhD
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/bioengineering (or a similar degree with an academic level equivalent to a two-year master's degree) and have demonstrated experience in the following areas: Numerical methods Statistics Computational biology
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for laboratory work Analytical skills and experience in statistical analysis Strong written and oral communication skills in English Ability to work independently Approval and Enrolment The scholarship for the PhD