141 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" positions in Switzerland
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The Department of Mechanical and Process Engineering (www.mavt.ethz.ch ) at ETH Zurich invites applications for the above-mentioned position. The new professor is expected to establish an ambitious
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. Empa is a research institution of the ETH Domain. The Laboratory of Advanced Materials Processing (LAMP) is a multidisciplinary research unit that develops innovative functional modification of materials
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product quality attributes, such as remaining shelf life. Process measured sensor data of commercial cold chains, analyze data for variability, and reformat data in databases. Use the simulation-based
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We invite applications for a PhD position in computer-aided drug design at the Computational Pharmacy Group, Department of Pharmaceutical Sciences, University of Basel. This position is part of
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developing and maintaining software systems essential for the operation and data processing of the HIRAX telescope array. This position offers a unique opportunity to contribute to groundbreaking astronomical
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need to be enrolled in one of the EPFL doctoral school programs. This is a separate application process that you can start in parallel. We suggest that you apply to the Doctoral Program in Mechanics
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programming in Julia or a strong willingness to learn Strong English speaking and writing skills Able to work well in a team Heliosphere / plasma science, cosmic dust science, astrodynamics Parallel processing
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subsurface mass and energy transfer processes as well as related power plant processes. We conduct both fundamental and applied research to address a wide range of societal concerns related to geothermal
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such data; hands-on experience in scaling up and/or parallelizing codes on HPC systems using languages such as e.g., C/C++, Fortran, Python; solid knowledge of parallel programming models (e.g., MPI, OpenMP
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if required. Proven ability to independently plan, execute, and troubleshoot NGS experiments. Strong multitasking skills with the ability to manage and prioritise multiple parallel tasks effectively