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application to individually optimized immunotherapy for cancer. The grant covers two postdocs and several PhD students with complementing competences. In this call, we are looking for one PhD student who is
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wavelengths via nonlinear optical processes. These pulses will be used to optimize high-order harmonic generation for applications. Development of an attosecond pulse source in the X-ray region. The goal is to
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from 3D-optimized end-walls provided by additive manufacturing (AM). The project outcome will solve the urgent need for CO2 reduction from air traffic. Research environment You will join the Fluid
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, optimization) or AI.- Someone who enjoys working in a team, takes initiative, and isn’t afraid to think outside the box.- Someone with excellent grades from BSc and MSc studies, and not afraid of experimental
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to polymer building blocks. The work will involve developing suitable bacterial strains using synthetic biology tools for constructing optimal pathways, and protein engineering using rational design and
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will contribute to the development of more sustainable land management strategies that enhance soil carbon storage, optimize nutrient availability, and mitigate negative environmental impacts. Work
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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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optimize protocols for high-resolution spatial transcriptomics and gene expression profiling in pancreatic tissue slices Perform live tissue imaging, calcium imaging, electrophysiological measurements, and
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optimized immunotherapy for cancer. The grant covers two postdocs and three PhD students with complementing competences. In this call, we are looking for one postdoc who is mathematically oriented, with
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description and working tasks Linear algebra expressions are evaluated in an efficient and robust way by mapping them to a carefully chosen sequence of calls to optimized functions as offered by libraries