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based measurements to quantify frictional drag and wall shear stress. The project offers hands-on experience with state-of-the-art experimental facilities and provides training in data analysis
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construction, ii) the managers of the different models involved, and iii) other postdoctoral researchers focusing on complementary modeling aspects (specific analysis of soil carbon models and work on crop
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expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. As part of the project, the PhD student will work with
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: -Culture and maintenance of Symbiodiniaceae strains - Analysis of cell viability and growth - Development of different culture media - Development of transfection/genome editing protocols - DNA and RNA
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sequences. Development the analysis method and algorithm. 12 to 24 months: Photothermal, photoacoustic and hotspot characterization of several nanoagents with a significantly different hotspot effect
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-layer techniques (preferred/an asset, intermediate level). Proficiency in Python for scripting, data analysis, and automation (advanced proficiency required). Website for additional job details https
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metastability processes under different operating conditions (dark, illumination, electrical bias); Spatial analysis of performance inhomogeneities and degradation mechanisms using optical and electrical mapping
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high-resolution microscopy • Mammalian cell culture and genetic manipulation • Molecular and biochemical assays • Quantitative analysis of intracellular trafficking dynamics The project will be carried
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training in nuclear physics and/or nuclear reactor physics. Strong programming skills (Python and/or C++) and data analysis skills are required. Proficiency in stochastic neutron transport simulation
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reactor physics. Strong programming skills (Python and/or C++) and data analysis skills are required. Proficiency in stochastic neutron transport simulation software such as MCNP, Serpent 2, OpenMC, Tripoli