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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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training pipelines. Background in numerical analysis and/or optimization, with interest in error estimation, convergence, and robustness to noise. Experience with geospatial data (LiDAR/photogrammetry/GIS
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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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been established in the control, monitoring and optimization of complex dynamic systems in mining, energy, automotive, food, agriculture and process industry. As part of RECAT, you will collaborate with
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collaborate on modelling and numerical optimization in robotics, electromobility, and autonomous driving. The team is international and combines expertise in control, optimization, and statistical inference. A
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analyses, as well as optimizing growth on waste biomass and conducting large-scale fermentations. You will be part of an interdisciplinary team at Chalmers and collaborate regularly with industry experts
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) framework nominated for the ACM Gordon Bell prize in 2023, and Veloxchem, a versatile open source quantum chemistry software. In this role you will primarily contribute to the development and optimization
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will be commissioned at the ForMAX beamline at MAX IV by studying hierarchical self-assembly processes that have the potential to lead to the next generation of optimal bioinspired materials. In
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by E-sail propulsion. The focus of the project will be on modeling the accuracy of the determining the continuous small thrust force, and optimizing the configuration of the RF ranging operations