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by the time of appointment, Strong interest in solar physics, space weather, or plasma modeling Programming experience (e.g., Python or equivalent), Some background in solar data analysis
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, biochemistry, or related fields Previous experience in cell culture is a must, knowledge in IPSC is a plus Experience in microphysiological systems (e.g. microfluidics, 3D cell culture), lab automation or image
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://physics.aalto.fi/smw . Your experience and ambitions We offer a hands-on, multidisciplinary research environment combining experimental surface physics, nanotechnology, and fluid dynamics. In return, we are looking
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, computational biology, data science or a related field. Applicants with a PhD or MSc degree from other fields must have substantial demonstrated experience in bioinformatics data analysis. Several years
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of quantum computing principles (required) Knowledge of conventional communication networks and/or distributed computing (advantage) Experience with Qiskit, QuTiP, pytket, circuit optimization, or quantum
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Master’s degree in statistics, data science, machine learning, mathematical modeling, or similar area. Previous experience in working with Bayesian models and their computation and experience in ecological
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, magnetic components and power electronics. They possess the theoretical and practical skills and some experience relevant to the position. Experience in analysis and design of magnetic circuits, knowledge
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as well as the reactor and process simulation and analysis. Details will be adjusted collaboratively as the project progresses. The project has access to two experimental reactor setups, common
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, such as molecular beam epitaxy (MBE) or STM experience, are a bonus. Ability to work both independently and as a part of an international and multidisciplinary research group. Interest in experimental
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, biochemistry, genetics, or biotechnology, to provide applicable skills and knowledge. Prior experience in molecular or cell biology, biochemistry or virology is considered an advantage. The appointee is also