27 software-formal-method-phd Postdoctoral research jobs at Aarhus University in Denmark
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contribute to development of research grant applications. Your profile The applicants should hold a PhD in structural dynamics with focus on data-driven methods (e.g., for input/state/parameter estimation) and
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with immediately engage in a wider collaboration within the Software Engineering group, and potentially across other research groups in the SECS Section. Your profile Applicants should hold a PhD degree
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postdoctoral position in methods development and analysis of multi-omics and clinical data for inflammatory skin diseases. The start date is October 1st, 2025, or as soon as possible thereafter. Research context
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evaluation process etc please visit: ambercofund.eu Qualification requirements Minimum requirements are: candidate needs to have a maximum of 8 years after a doctoral degree (PhD), as required by the project
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and 2005 and utilising various methods from history, digital humanities, and cultural studies. The position is 2,5 years (30 months). The position is based at the Department of History and Classical
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Dražević, and will jointly develop the heterogeneous
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requirements Applicants should hold a PhD or equivalent academic qualifications. Formalities Faculty of Arts refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities
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of understanding their regulation by phosphorylation. You will be in charge of writing and testing code, developing, deploying and maintaining software. Your work will benefit from the experimental data generated by
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chemical trauma scenarios. Further, the plan is to develop a novel quantitative 3D bite mark analysis method. The overall perspective is to secure implementation of 3D dental data within the field
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and a demonstrable interest and experience in the use of computational methods. The candidate should combine the use of quantitative and statistical approaches with (solid) historical analysis, in line