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📍 Linköping University, Sweden | 🌍 International Collaboration | 🧠 Neural Therapies Are you passionate about cutting-edge research at the intersection of chemistry, biology, and electronics? Join us at the Laboratory of Organic Electronics (LOE) for the PolyKinetics project, where we’re...
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). Collaborate with academic and industrial partners. Develop scientific concepts and communicate results in English. Build experience valuable for future roles in academia, industry, or the public sector
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also pursue multivariate time series analyses of monitoring of coastal fish communities in the Baltic Sea. The post-doc will lead and contribute to related scientific publications, and contribute
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these various goals whilst future climatic changes are projected to progress most rapidly in the boreal region, will require adaptive management strategies. For this purpose, a transformation from traditional
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and future developmental timepoints from time-series data. Our recent theoretical work suggests that these learned relationships can generalize across conditions, and we will test this using both
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programming in, for example, R or Python. Particularly valuable is a research background in ecology, biodiversity, systems biology, or related areas, as well as experience working with time-series data, dynamic
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2007. At all of these sites, most ecosystem carbon fluxes of the canopy, stems, soil and roots have been regularly monitored, generating detailed carbon cycle time series for ~5 years from
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historical data series. Knowledge of resilience and sustainability of cropping systems. Experience managing agronomic field experiments. About us The Department of Crop Production Ecology contributes
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. Project description The postdoctoral fellow will explore synaptic processes and white matter pathways between
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will be expected to dedicate your time develop a high-biofidelity, high-resolution computational rat model with dual applications: i) advance the mechanistic understanding of brain injury by linking