35 phd-in-cloud-computing Postdoctoral positions at Chalmers University of Technology in Sweden
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We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
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project Participate in teaching activities Qualifications You have a PhD degree in a field related to High Performance Computing or Computer Architecture. You are highly motivated, self-propelled, energetic
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techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree (Physics, Applied Physics, Nanotechnology, Computer Science, Engineering, or
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join us in pioneering innovative computational modelling techniques to enhance metabolic research! Qualifications: PhD degree in biotechnology, biochemistry, computational biology, microbiology, or a
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-capacity wireless communication solutions. As part of a cross-disciplinary team, you will be expected to present your research results at project meetings, co-supervise PhD students, and contribute
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to develop solutions with real world relevance and impact. This project will be carried out in close collaboration with researchers from the Division of Material and Computational Mechanics at IMS and the
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of junior students (PhD or Master); - solid experience with laser frequency combs and/or silicon photonics. It is meritorious if you have: - knowledge of standard finite element solvers and computational
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ongoing research projects Supporting the supervision of PhD students and postdocs Contributing to project management and proposal writing Research environment You will be part of the Communication Systems
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Physics Division that hosts the Langhammer Group provides further relevant information. Who we are looking for We seek candidates with the following qualifications: A PhD degree in physics. An experimental
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning