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to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from numerical methods used to design wind turbines and understand turbulent combustion in jet engines, this research aims
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within material physics, primarily theory and modelling of atomically laminated materials. We will use open data bases and high-throughput simulations to explore a wide range of known and hypothetical 2D
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to simulate damage, and use and develop new physiological, morphological, cell and molecular biological analysis techniques. You will conduct training and supervision of students at all levels, including
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We are pleased to announce a postdoctoral position focusing on developing advanced computational techniques to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from
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finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the
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Computing. Topics of interest include but are not limited to: (i) complex systems modeling and simulation, (ii) software engineering, (iii) performance engineering, (iv) systems resilience connected
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, medical analysis and treatment, material processing, etc. You will be given the opportunity to work in one of the world-leading groups in the area and combine device characterization with simulations
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, Verified copy of doctoral degree certificate or documentation that clarifies when the degree of doctor is expected to be obtained, Verified copies of other diplomas, list of completed academic courses and
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Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
if interest arises: numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. HCF fabrication will be carried out at RISE Fiberlab (Hudiksvall), one of the leading specialty
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simulated and available experimental datasets. This role offers a unique opportunity to translate transformative theoretical insights into a practical framework for understanding how new phenotypic variation