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Screen reader users may encounter difficulty with this site. For assistance with applying, please contact hr-accessibleapplication@osu.edu . If you have questions while submitting an application
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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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, Machine Learning, Physics, Mathematics, Engineering, or equivalent A solid publication record with research publication(s) in peer-reviewed international journals Good programming skills (ideally in Python
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have submitted but not yet received their PhD will be appointed at the Research Assistant level, which will be amended to Research Associate once the award of the PhD has been confirmed. Click the 'Apply
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practice or other forms of appointment/assignment relevant to the subject area. The successful candidate must hold a PhD in one of the following fields: mathematics, physics, computational science, or
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Assistant level, which will be amended to Research Associate once the award of the PhD has been confirmed. To apply online for this vacancy and to view further information about the role, please visit our
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biological basis, through technological processes and mathematical support. Your profile We are looking for a candidate with proficiency and documented research experience particularly in immunology and/or
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. Qualifications: • A PhD in applied mathematics, statistics, electrical engineering or computational sciences completed within the past 5 years (or soon to be completed) • Experience in numerical analysis and
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group aims to determine regulatory pathways affected by disease by implementing the use of spatial proteomics combined with transcriptomics and live imaging. The total proteome of a neuron includes a vast
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evolutionary modelling (Hilje Doekes). Your qualities You have a PhD degree in a relevant field, preferably in evolutionary biology with hands-on experience in modelling or in mathematical/computational biology