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to the application deadline. Knowledge in electrochemistry, mathematical modelling, electrotechnology and/or experience in laboratory work is favourable. Knowledge of Swedish is an advantage. What you will do Planning
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with fungal community, genomic or transcriptomic analyses Knowledge of multivariate analyses and statistical modelling Excellent communication skills in written and spoken English We consider it a merit
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group has for many years conducted research on the ICF and its application in developmental, psychiatric and somatic conditions. The research aims to develop and evaluate ICF-based models, assessment
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of the developer, stress, expectations, …)?, and (iii) how can relevant factors be formally modelled and used to adapt the displayed analysis results? The successful applicant will be encouraged to collaborate with
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expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and hands on experience with mathematical optimization and network modelling. A
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, modeling to scaled-up manufacturing. The 2-year postdoc project Electrochemical properties of solid-state batteries and analysis of interactions between its different components will be shared between Depts
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, modeling to scaled-up manufacturing. The 2-year postdoctoral project on Precision Manufacturing for scalable production of Solid-State Batteries will be conducted within the Dept. Production Engineering. The
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Familiarity with performance modeling, analysis and optimization for heterogeneous architectures. Experience with developing code for: molecular dynamics, computational fluid dynamics, or quantum chemistry
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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hybrid work affects innovation processes, collaboration patterns, knowledge sharing, creativity, and collective problem-solving in software-intensive organizations. Designing and conducting empirical