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this framework, our Digital Twins for Healthcare department pioneers precision medicine by engineering virtual patient replicas to predict and treat complex diseases. About the role Cardiovascular digital twins
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their Postgraduate Dean and must still be in training at the time of starting their PhD. Applicants from NMAHPS and all other clinical disciplines must have completed their professional training and at the point
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/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational
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are security-eligible. We may use background checks as part of our recruitment process. What are we looking for in you? Personal skills: We are an international team of researchers from diverse scientific and
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processing and analysis of large datasets. Evidence of creativity and capability of independent research. Fluent oral and written communication skills in English. Desired qualifications: It is an advantage
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laboratory work, bioinformatic processing of Next Generation Sequencing data, and population genomic analyses, including demographic inference. The purpose of the fellowship is research training leading
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infrastructure and surrounding terrain. The work can include physics-based modelling of e.g., various events and wave propagation through different media, signal processing, large-scale data analysis, algorithm
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requirements: The norm is as follows: the average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system the average grade point for courses included in
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. Possible research questions include how founders narrate and attribute their ventures' outcomes; whether they treat what they learned as specific to their case, or as broadly applicable lessons, ones
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experience employing qualitative methodologies for data collection, processing and analysis; Proven experience in science communication, institutional communication and/or communication for research units