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understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will
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with a new cutting-edge quantitative-trading company to push the frontiers of AI-aided decision-making in quantitative trading processes. As a PhD candidate you will: Design next-generation trading
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into this environment are invited to apply. Experience in fields such as NPC, peroxisomes, DNA origami, IDPs, biophysics, single-molecule techniques, and optical imaging is welcomed. We foster diversity and female
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to Human sequences and viceversa - Experience in Culturing Dictyostelium discoideum - Experience in Genetic engineering and developing CRISPR constructs - Experience in Bioinformatics and data analysis
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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2 Sep 2025 Job Information Organisation/Company Linköping University Research Field Engineering » Materials engineering Chemistry » Applied chemistry Physics » Applied physics Researcher Profile
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. Candidates should have excellent programming, communication, and organizational skills. Ideally, candidates should have previous knowledge of image processing, statistics, and machine learning/AI, and
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Alex Leung (Mechanical Engineering at UCL) will also collaborate. he specialises in imaging of additive manufacturing and will support the project by assisting with the in-process monitoring. We expect
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focused on mass spectrometry and development of new techniques for mass spectrometry imaging and single cell mass spectrometry to reveal chemical processes of importance to biological function and
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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications