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highly versatile, state-of-the-art beamline geared towards high-throughput protein crystallography and automated experiments. MicroMAX, which recently started user operation, is optimized for microfocus
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with experimental biologists, clinicians, and data scientists. Design, test, and optimize data visualization tools for spatial and single-cell data. Contribute to manuscript preparation, conference
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graphene-based field effect transistor sensors with biological receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher
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. Thus, this project will advance our empirical understanding and thereby create an urgently needed decision support for developing optimized strategies for boreal peatland forest management. The main
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team. Together you will ensure optimal operation of the beamline and its two end-stations ‘Diffraction’ and ‘Imaging’ for users and your own experiments. You will take an active role in running
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, modulation, multidimensional geometry, open position, optimization, Ph.D. student, probability, quantization, research education, search algorithm, signal processing, sphere decoder, sphere packing, symmetry
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on hydrogen. Mutant strains will then be optimized for growth on hydrogen through adaptive laboratory evolution. Changes in the bacteria will be analyzed through sequencing and proteomics infrastructure
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dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for an investor. Specifically, we aim to develop new methods for regime models, including
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include: Benchmark study: Compare and evaluate methods and models for digital twin simulation in autonomous shipping, and integrate them into a cohesive model. Energy optimization: Develop a dynamic energy
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methods and models for digital twin simulation in autonomous shipping, and integrate them into a cohesive model. Energy optimization: Develop a dynamic energy optimization model for hybrid and electrified