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collaboration with audiologists and clinicians. Co-supervising PhD & MSc students, particularly those working in electrophysiology and computational modelling. Developing a computational model of cochlear signal
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with full-field measurement techniques like digital image correlation Collaborating with key partners at other EU academic institutions The candidate will be affiliated with the Damage and Fracture
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techniques. Development of quantitative image analysis to extract dynamic information encoded in single and series of atomic-resolved images of single nanoparticles. Investigation of dynamic processes
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Postdoc in Multispectral Imaging and Imaging Spectroscopy of Ecosystem Spectral Diversity and Fra...
applicant will be working on multispectral imaging and imaging spectroscopy across scales as part of the project SABiOS: guiding Sustainable Agriculture and Biodiversity management with earth Observing
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expansion in the 4th to 1st century BCE and the natural climate changes that seems to occur in the same period. Requirements The successful candidate has a PhD in History, Archaeology or other similar
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have a strong background in AI, particularly in computer vision, as most of the data will consist of images or videos. Additionally, prior experience in both analyzing and capturing data within marine
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into the model and incorporate the prototype design into the system model. Qualifications Qualified applicants must have: PhD degree in engineering, physics or similar. Experience with heat and mass transfer and
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the prototype design into the system model. Qualifications Qualified applicants must have: PhD degree in engineering, physics or similar. Experience with heat and mass transfer and/or numerical modelling
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work with nearby bioinformatics (in particular PhD students working both on the DIRM and other projects within the group) and experimental immunology colleagues. Qualifications As a formal qualification
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affiliated with the Center for Visualizing Catalytic Processes (VISION) at DTU Physics www.vision.dtu.dk and work closely with VISION’s faculty members, PhD students, postdocs and international leading