10 scholarship-phd-agent-based-modelling Postdoctoral positions at Linköping University
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at the Division of Molecular Medicine and Virology (MMV). The scholarship is part of the Medical Inflammation and Infection Center (MIIC) International Postdoc Program, the start date is negotiable. Research
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industry. Your research direction and work assignments You will develop methods, based on computational geometry, to generate spatial information of nanoparticles on irregular 2D surfaces in 3D space. One
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of OLED emission are still of great relevance for research. In particular, this holds for the principles of electroluminescence of OLEDs based on luminescence by radicals, room temperature phosphorescence
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part of the Swedish Research Council (Vetenskapsrådet)-funded project “PolyKinetics” and is based in the Laboratory of Organic Electronics at Linköping University, Sweden. As part of this project, you
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: Develop biohybrid living materials and devices based on photosynthetic organisms with responsive and evolving characteristics. Innovate methods for integrating photosynthetic components into material
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application! Work assignments Your work duties will include research in the area of theoretical modelling of disordered magnetic materials. This involves method development, large-scale computations, and
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to a better world. We look forward to receiving your application! Work assignments Your work duties will include research in the area of theoretical modelling of disordered magnetic materials
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these may be taken into consideration. The applicant must hold a PhD in Pediatrics or a related field. As an applicant, you are expected to: Have experience in the analysis of multiomics data and Olink
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– such as taking statutory leave – then these may be taken into consideration. We are looking for someone with very strong knowledge of DFT-based electronic structure and lattice dynamics methods (DFPT and/or
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very strong knowledge of DFT-based electronic structure and lattice dynamics methods (DFPT and/or AIMD-derived phonons), as well as experience in scientific programming and HPC environments. You are