11 parallel-and-distributed-computing-phd Postdoctoral positions at AALTO UNIVERSITY in United Kingdom
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types
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experience and ambitions Applicants are expected to hold a PhD and excellent study records in theoretical physics, mathematics, computer science, or other relevant field. have sufficient background in quantum
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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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results with electrochemical kinetics analysis and computational insights for mechanistic interpretation of LiNRR and beyond-Li NRR. Collaborate with the project partners and support their research
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
models. You will also have opportunities to contribute to open-source computational tools and datasets, teach master-level courses, and advise doctoral students. You will closely collaborate with Prof
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etc.). Co-supervision of QDOC students within the funding period is considered an advantage. We expect the candidates to have: Completed a PhD degree in a field complementary to the goals of QDOC
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We expect you to have a PhD (or equivalent) degree in mathematics, a strong research background in analysis with emphasis on areas supporting one or several of the research topics above, and motivation
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structures unavailable elsewhere. Your role and goals The successful candidate is expected to lead the experimental effort with a team of PhD and master’s students and collaborate closely with theorists in
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. Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials science Experience with thin film deposition using atomic layer deposition is required Experience with surface
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both microbes and materials and can build the tools to connect them. Required qualifications Recently completed PhD (within 2 years) in biotechnology, microbiology, bioproducts engineering, or closely