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author (pdf) first sketch of the proposed research project, including tentative timeline, milestones (1 page A4) this is a 100% employment position. However, as an exception, a lower degree of employment
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, invites applications for a Postdoc position. This position offers a unique opportunity to engage in research aimed at addressing contemporary challenges in management and organizational theory. Job
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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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100%, Zurich, fixed-term The Laboratory of Energy Science and Engineering (LESE) headed by Prof. Müller (ETH Zürich, Department of Mechanical and Process Engineering) is looking for a highly motivated candidate with a strong interest in material development and characterization for...
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brain functions and their effects on bodily physiology during wake and sleep. Job description The successful candidate will work on designing and conducting human experiments using a multimodal design. A
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are interested in the function of cytokines in regulating mammalian hematopoietic stem and progenitor cell fates. We will use a combination of stem cell purification, culture and manipulation, long-term live cell
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100%, Zurich, fixed-term The Experimental Planetology Group of the Department of Earth and Planetary Sciences (D-EAPS) invites applications for a 2-yr post-doctoral position on the experimental determination of liquid iron alloy densities with application to the lunar core and those of other...
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100%, Zurich, fixed-term This PostDoc position is offered by the Wood Materials Science group (D-BAUG, Institute for Building Materials). Project background Agricultural waste production is an
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100%, Zurich, fixed-term The Quantum Material Dynamics group (Prof. Elsa Abreu, qmd.ethz.ch) in the Department of Physics of ETH Zürich has an open postdoc position in THz dynamics of quantum
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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