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platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
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and focusing performances, with the aim of getting down to a spot size of less than 50 µm for chemical imaging of biological tissues by mass spectrometry. Different strategies can be followed: 1
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the laboratory, we will cultivate fermentative communities in parallel bioreactors, subjecting them to controlled variable selective pressures (https://m-unlock.com/parallel-cultivation-platform
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attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O. Conte Center on the "Cognitive Thalamus". The successful
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locations and losses, such as extreme events Spatial analysis of areas where seagrass should be able to growth under present and future conditions (including different nutrient and climate scenarios) and site
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Postdoc (f/m/d) Research Data Management and Data Visualization / Completed university studies (P...
Data Management and Data Visualization. Your tasks # Work with existing APIs for data access from various sources and design own APIs; combine different kinds of data such as sampled field data, geo
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microscopy, FTIR, chemical analyses, etc.) and will be analysed under different growth conditions such as light intensity, calcium, AEE or HCO3 /CO2 concentrations. 3) In parallel, other experiments will be
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 months ago
for data access from various sources and design own APIs; combine different kinds of data such as sampled field data, geo-spatial data, and simulated model data # Design and extend data handling and data
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wherever possible. In particular we will use the massively parallel, adaptive-mesh multidomain pseudospectral code, bamps, to make the most dense study of the threshold of black hole formation to date. We
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them on massively parallel computers ? CPU, GPU, and APU systems. The successful candidate will work with Prof. Uri Shumlak and Prof. Jingwei Hu and contribute to a project that combines novel low-rank