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loops between metastatic cancer cells and their microenvironment-the stage of escalation. Baumann Z, et al., EMBO Mol Med. 2022. 4- Optimized full-spectrum flow cytometry panel for deep immunophenotyping
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- Feed-forward loops between metastatic cancer cells and their microenvironment-the stage of escalation. Baumann Z et al., EMBO Mol Med. 2022. 4- Optimized full-spectrum flow cytometry panel for deep
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position focused on light-driven CO2 capture. Job description Our group is actively developing a novel photoacid-based approach for efficient CO2 capture, optimizing both the local chemical environment in
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models that significantly accelerate forging process simulations, optimize manufacturing parameters, and reduce dependency on computationally expensive simulations. This position offers the opportunity
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, to allow us to optimize materials properties. Your tasks Develop multi-material models at the atomic and molecular level to enable us to optimize materials processes and designs Using experimentally obtained
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microbial communities and products that optimize food quality, safety, and human health. We are seeking a highly motivated postdoctoral researcher to join an innovative project on developing non-dairy
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either one of the following areas : the theory of automorphic forms, applications of automorphic forms to harmonic analysis and differential equations, optimal configurations of points in geometric spaces
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involve: Investigate the effects of pressure and temperature on plasma-driven reactions. Design and conduct experiments for CO2 conversion, CH4 pyrolysis, and their combined conversion to identify optimal
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for the position: A PhD or Doctoral degree in Energy Economics, Mechanical Engineering, Electrical Engineering, Energy Systems, or a closely related field. Proven expertise in energy system modelling and the use
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Analyzing experimental data and optimizing protocols This position is full-time, with flexible starting dates in 2025. Profile A PhD degree in physics or relevant fields Prior experience in experimental