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applicants to document their proficiency in Danish and English at any time in the recruitment process, if considered necessary. As the project will involve the recruitment and assessment of a large sample of
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dynamics Good language skills Application and Assessment Procedure Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below. Please include
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building UHV systems. Experience in simulating in COMSOL or similar programs. A strong grasp of written and spoken English. Fluent in a computer coding language (python or Matlab or C++ or etc
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immediately before the start of their employment at UCPH. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva
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of extracellular matrix (ECM) remodelling during wound healing. Yet, many proteolytic processes remain uncharacterized due to the complexity of the ECM and limitations in current detection strategies. Advances in
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with expertise in digital signal processing methods, and machine learning methods for amplitude and phase noise characterization of optical frequency combs, recovery of dual-comb measurement signals and
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integrating with modulators. The project will among others consist of the following tasks: Study nonlinear process for OFC wavelength conversion from telecommunication to mid-infrared; Study different schemes
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
/ (International Staff Mobility). Application procedure Your application must be submitted electronically by clicking ‘Apply now’. The application must include the following documents in PDF format: Letter of
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Position in XAI with Commonsense Knowledge for Robotics and Computer Vision 2. PhD Position in Sustainable AI for Enhancing Health Informatics (Please scroll down to read more about the project descriptions
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Kontogianni. Our research explores how intelligent systems can perceive, understand, and interact with the 3D world. We develop new methods in computer vision, machine learning, and multimodal 3D