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. To create efficient adjoint-based optimization methods for tunable metasurfaces that provide rapid sensitivity/gradient evaluation, support high-dimensional design spaces, and allow systematic optimization
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics
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theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive dynamics, and population genetics. This position is part of the interdisciplinary consortium
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—especially GaN devices—using pre-metallized AlN carriers. The aim is to understand, optimize, and scale bonding processes for both small and large GaN chips. Planned Thesis Work will include both literature
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operations research in Finland. Applications are welcome from all areas of operations research, including but not limited to optimization, mathematical programming, analytics, data-driven decision-making
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approaches and optimization System dynamics modelling Energy system resilience and risk assessment The research will heavily involve mathematical model development and the use of specialised software
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, optimize, and expand workflows for spatial omics technologies, from sample preparation through analysis to data generation and interpretation. Integrate spatial methods with other modalities, such as
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of their pigments, through the optimization of their production and application, to the comprehensive ecological and economic evaluation of the resulting solutions. The successful applicant will be employed by
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) in computer science, mathematics or statistics, with an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization
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quantitative predictions testable against empirical data from diverse ecological contexts. We use methods from theoretical evolutionary biology, including optimal control theory, life history modelling, adaptive