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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
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(and other thin shear) flows in particular, as well as on turbulence in general is highly beneficial Experience and proficiency with big data handling, parallel processing, GPUs (e.g. CODA) and analysis
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study of the influence of the grinding process on the flowability of these materials will be carried out after grinding and in parallel with the physicochemical analyses. The flowability is measured using
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the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D cluster around the University and a growing number of international
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client for the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D cluster around the University and a growing number of
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meetings to the collaborative partners are foreseen. Various experimental projects are running in parallel, and you are encouraged to regularly leave your computer, go into the lab and directly compare your