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responsibility for our unique GPU-accelerated 3D FDTD software suite and extending its capabilities Modelling the effects of atmospheric turbulence fields Software development (3D modelling and coding in Python, C
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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine learning with the physics of laser–matter
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applications such as responsive nanomaterials or targeted drug delivery, requires the development of bespoke motor architectures that are highly robust, scalable, and energy-efficient. Towards this goal, our
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application of statistical software, preferably R, STATA Good knowledge of national and international clinical research regulations (e.g. HFG, ICH-GCP) Excellent written and oral communication skills in German
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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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direction for future efforts in this broad area, and collaborating with Ph.D. students, other Post-Docs, and Scientific Staff (such as software developers from ETH's Scientific IT Services group) to produce
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publications and references Two key outputs (these could be publications, software code, projects, etc) Please note that we exclusively accept applications submitted through our online application portal
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essential: Strong Python and R skills; solid software-engineering practices (testing, packaging, documentation, Git). Demonstrated experience analyzing deep sequencing and single-cell data (e.g., Scanpy