17 parallel-computing-numerical-methods-"Prof" Postdoctoral positions at AALTO UNIVERSITY in United Kingdom
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a Postdoctoral Researcher for experiments in swarming dynamics of living swimmers A Postdoctoral Researcher position is available in the Living, Fluid, & Soft Matter group of Prof. Matilda Backholm
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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cavity structure enable a mechanism for the controlled Bose-Einstein condensation at room temperature, with applications in all-optical computing Nature Photonics 13 378 (2019) and quantum sensing Nature
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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a project to generate knowledge and impact towards sustainable urban futures. We expect such project will mobilize theories, tools and methods of participatory design and futures studies and can be
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by Prof. Luana Dessbesell, a highly multidisciplinary team seeking to support the development of truly sustainable bioproducts innovations. If you see yourself wondering what is and what isn't
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The position is open to the Sustainable Bioproduct Innovations group headed by Prof. Luana Dessbesell, a highly multidisciplinary team seeking to support the development of truly sustainable bioproducts
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. This work is part of European Union’s Quantera Program project “MQSens: Quantum Sensing with Nonclassical Mechanical Oscillators”, where opto-/electromechanics is utilized to explore how quantum protocols can
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infrastructure, cloud computing, or digital sovereignty Excellent communication and collaboration skills in English Basic understanding of quantitative methods (e.g. multiple regression) Additional selection