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project focuses on developing a mechanistic understanding of coupled redox–dissolution pathways in multi-metal oxide systems and how these pathways can be inferred from real-time process signals. Using
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electrode and electrolyte materials, characterize them, evaluate and improve them with respect to battery performance, and study fundamental chemical processes and properties using both experimental and
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: It is highly meritorious if the doctoral degree has been obtained within the last three years prior to the application deadline Experience with optical instrumentation and quantitative signal analysis
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learning and simulation-based inference for searches for dark matter (or other “invisible” new physics signals) at the Large Hadron Collider, with the support of competent and friendly colleagues in
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species, a storm-exposure hazard index, and bark-beetle susceptibility signals, designed in collaboration with regional authorities and forest owners associations. As part of this work, the project will
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. The project will focus on integrating quantitative and textual information, accounting for structural shifts in measurement processes over time, and developing scalable inference for high-dimensional settings
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awarded at the latest by the point at which LiU makes its decision to employ you. It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job
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identity and extracellular signaling, but how cell types, signaling mechanisms, and transcription factors jointly determine tissue structure is incompletely understood. The Koplev lab is recruiting
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, modelling, fabrication, prototyping, measurements or experimental validation. Additional merits include machine learning, optimization, signal processing, numerical acoustic simulation (for example FEM/BEM
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languages (such as advanced type systems and functional logic programming) to bridging the gap between ad hoc array processing and formally verified functional programming using interactive theorem provers