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, evaluating, and fine-tuning machine learning models (e.g. deep neural networks) to segment underwater scenes and classify anomalies. The work will explore the use of virtual environments and synthetic datasets
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and focuses on cellular crosstalk in the regulation of liver function in health and disease. For this we apply single cell- and spatially resolved transcriptomics and bioimaging to study human liver
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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longer start-up phase. In consequence, we offer a one-year position as research assistant to allow time to work your way into the topic and fine-tune a PhD-project description, before potential enrolment
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Science, Mechanical and Manufacturing Engineering, is open for appointment from 01/02/2026 or soon thereafter. The position is available for a period of 3 years. Your work tasks The PhD project will be part
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the Center for Cancer Immunotherapy (CCIT) at Herlev Hospital, Copenhagen. You will join a dynamic and international team that utilizes in vivo mouse work and human clinical samples to understand
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? If yes, we look forward to reading your application! Your work tasks The Ph.D. stipend is part of the Villum Young Investigator project grant “Restoring the Carbon Balance: Using Bacteria, Archaea and
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outcomes of obesity. Research environment The project will benefit from the highly interdisciplinary expertise in the ATLAS Center of Excellence. The work will primarily be carried out in the Functional
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and industrial applications. In the long term, this work aims to contribute to a reduction in resource use and carbon emissions by improving the efficiency, reliability, and durability of concrete
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pylori, an ancient inhabitant of the human stomach, with a rapidly declining prevalence. The organoid work will complement our other approaches, using mouse infection experiments and screening of clinical