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members. You will collaborate closely with immunology research groups and external stakeholders to align the yeast engineering with direct applications and emerging needs in immunological research
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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ontologies and knowledge graphs that represent the data structures and processes across our facilities. A key part of your role will be to ensure alignment with best practices and existing community standards
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optoelectronic platform for in vivo monitoring of brain organoids allowing for modeling of the diseases. The platform consists of two or multiple compartments which allows to monitor interactions between organoids
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at DanMAX. Collaborate with QIM researchers and help align the development of new image analysis methods with the needs of beamline experiments. Take part in advising MAX IV on infrastructure requirements
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international partners to align experimental designs, protocols, and data standards across collaborating institutions and scales. This collaboration will support the generation of coherent, high-quality datasets
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. free-space based systems Skills in optical alignment and development of custom optical setups Nice-to-have qualifications: Experience with quantum optics experiments and single-photon detection
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them to develop preforms; Draw the multifunctional optical fibers based on modified thermal drawing process of multiple materials (e.g. polymers and metals) with strongly different thermomechanical
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at multiple fidelities: from simplified beams to full 3D FE models. You will collaborate closely with both academic and industrial partners in Denmark and abroad, ensuring that your research has impact in
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be considered an advantage: Confocal microscopy Image processing Optical bench instrumentation – set up and alignment Scientific software development Thermochronology and exposure dating The successful