89 phd-sandwitch-in-architecture-and-built-environment Postdoctoral positions in Switzerland
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- ETH Zurich
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- University of Zurich Blockchain Center
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- ; Ecole polytechnique federale de Lausanne - EPFL
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Applicants should have recently earned a PhD in Economics and should show interest in the topics of the group. The preferred candidate has demonstrated her or his potential to conduct high-quality research
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written in Python based on the NumPy, SciPy, CuPy, and mpi4py modules. It makes use of optimized BLAS, LAPACK, and FFT libraries for both CPU and GPU architectures. Through CuPy, custom GPU (CUDA/HIP
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the multifunctionality in complex real-world environment. Job description Design, micro-fabrication, and characterization of soft optical structures for multimodal sensing Develop theoretical understanding with
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Supervision of BSc and MSc students Your profile We are looking for a highly creative self-motivated team player You have a PhD degree in Materials Science or Chemistry combined with Machine Learning In depth
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to enhance controllability and connectivity. Our objectives include: Demonstrating novel architectures for large-scale quantum processing, featuring reconfigurable local control, rapid non-demolition readout
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at international conferences and within collaborative networks Profile PhD in Computer Science, Bioinformatics, Biomedical Engineering, Applied Mathematics, or a related field Proven expertise in image analysis (e.g
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computational design methods. Job description With the rise in developments of and interest in generative AI and transformer-based architectures, this position will investigate new computational approaches to use
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responsibility in a highly interactive international environment with other Postdocs and PhD students. Moreover, the candidate will also be involved in project management and grant acquisition. The position is
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-electron interaction types. Profile A PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations, including writing computer code, is essential
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PhD in Computational Materials Physics or a related area is required. Experience with electronic structure calculations is essential. Familiarity with the use of machine-learning tools in materials