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focus on data collected with in-situ AUV systems and airborne, water-penetrating LiDAR systems. Specifically, the postdoc will partner with both biological oceanographers (Matthew Oliver, Jon Cohen) from
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. Furthermore, implementation and customization of bioinformatics workflows for the analysis of ONT data are expected. The successful applicant will work in the team of the Joint Microbiome Facility
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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execute MR experiments using hyperpolarized 13C tracers in collaboration with project partners Develop robust experimental procedures and protocols to ensure reproducibility Contribute to data analysis and
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information For further information, please contact: Assistant Professor Emil Laust Kristoffersen, +45 29271306, emillk@inano.au.dk . Application procedure Shortlisting is used. This means that after
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Responsibilities Drive research activities towards defined goals and priorities within a specified timeline Perform advanced level of data analysis (quantitative and qualitative) Advance knowledge based on the data
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main areas of work: Exploration of heterogeneity in GDM risk and GDM subtypes and application of these insights to develop a GDM risk prediction model, based on data from The Danish Blood Donor Study
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Job Description Required Qualifications: (as evidenced by an attached resume) * Recent Ph.D. degree (or foreign equivalent) in Biomedical Engineering, Medical Physics, Electrical and Computer
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computational biologists, immunologists, clinicians, and experimental scientists, you will support study design, data interpretation, and reporting, and contribute to the development of robust, reproducible
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high level of independence in the design and execution of in vitro and in vivo experiments, the collection and analysis of data, and preparation of manuscripts. Compensation Grade Postdoctoral Scholar