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via Wavelength-Division-Multiplexing (ColorfulAct)". ColorfulAct aims to establish the building blocks of physical intelligence parallel to nodes and connections to artificial intelligence. We will
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research project developing novel chemical probes and degraders to dissect mechanisms of adverse effects in cancer and metabolism. For a summary of the latter see: p3.snf database ii) In parallel we
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Robotic Material via Wavelength-Division-Multiplexing (ColorfulAct)". ColorfulAct aims to establish the building blocks of physical intelligence parallel to nodes and connections to artificial intelligence
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Background in high-performance computing (HPC) or cloud environments Comfortable working in Linux/Unix environments Advantageous qualifications: Development of parallel applications Strong Python knowledge
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multiphoton microscopy, you will explore the molecular and cellular mechanisms of foreign body reactions. In parallel, you will collaborate with engineers to design and test microgels with tunable surface
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Robotic Material via Wavelength-Division-Multiplexing (ColorfulAct)". ColorfulAct aims to establish the building blocks of physical intelligence parallel to nodes and connections to artifical intelligence
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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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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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experience in developing software for scientific applications, data analysis, or real-time systems is desirable. Experience with parallel computing and optimization techniques for handling large datasets
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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