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Field
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the Ruijtenberg lab, we study these mechanisms using a combination of genome-wide sequencing and single-molecule imaging approaches, aiming to understand how cells determine their fate and function. Your job In
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of the devices in the state-of-the-art DTU Nanolab cleanroom facilities using quantum dot imaging, lithography, etching and metal deposition. In both projects, the overall objective is to increase the efficiency
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Job Description Do you want to contribute to a greener future where state-of-the-art scanning nitrogen vacancy (NV) magnetometry is introduced to visualize buried functional processes in energy
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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
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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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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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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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samples, generating robust insights into evolutionary history, population dynamics, and extinction processes. Your primary tasks will be to: Develop bioinformatics pipelines for assembling genomes from
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, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and Image processing Optical bench instrumentation
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Meritorious will be considered experience in: - Microscopy-based imaging - Immunohistochemistry - Work with clonal cell lines - Work with other model organisms such as D. melanogaster or D. rerio You are a