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—from soil science to crop breeding—to extract meaningful biological insights from complex imaging datasets. The successful candidate will design and implement software solutions for three key multimodal
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solution to carbon capture. During the Villum P2X Accelerator, we will focus on optimizing energy efficiency, designing a prototype, testing it with industrial partners using real flue gas, and scaling
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in machine learning and computer vision. Strong skills in developing computer vision and AI models. Experience with thermography or thermal imaging. Experience in data fusion and multimodal learning
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Professor of Veterinary Clinical Neurology Section for Diagnostic Imaging, Surgery, and Clinical Specialties Dept. of Veterinary Clinical Sciences Faculty of Health and Medical Sciences University
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groups, with a primary role in assessing histological slides and whole slide images for toxicopathological effects, but also interpretations of animal toxicity studies more broadly. This will include
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to define how RecQ helicases maintain genome stability to limit premature aging and cancer development. These projects will benefit from access to cutting-edge mass spectrometry, imaging, screening and
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histopathology, advanced imaging, gene expression profiling, behavioral analysis, and the application of this protocol to test model- and emerging contaminants suspected to be neurotoxic via endocrine mediated
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, regulon analysis frameworks, and image-based segmentation approaches is highly desirable. As a person, you have good interpersonal skills, are inclusive and team-oriented and able to contribute to a good
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(such as inertial navigation and acoustic positioning) and sensor-based perception techniques, including sonar or visual imaging. You may obtain further professional information from Associate Professor
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project, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and