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spatial omics, image analysis, and computational analysis of complex biological data. Work duties The main duties involved in a post-doctoral position is to conduct research. Teaching may also be included
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spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex
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data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written proficiency in English. Excellent communication skills, ability
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analysis tools. Data-driven Life Science Fellows program We are seeking a postdoctoral researcher to pursue curiosity-driven cell and molecular biology research in a team that uses AI and automation as
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chains, especially how different actors get involved in different venues and how focused issues change. You should develop theoretical frameworks, be responsible for data collection and analysis, and in
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North America. More information about the Division of Heat Transfer can be found here: https://www.ht.energy.lth.se/english/ COMPEL, "COMPetence for the ELectrification of the transport system", is a
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battery-related hydrometallurgical leaching as a model system, the project combines controlled experiments, real-time monitoring, chemical analysis, and data-driven modelling. The postdoctoral researcher
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involved in different venues and how focused issues change. You should develop theoretical frameworks, be responsible for data collection and analysis, and in collaboration with co-authors contribute
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or scale-up of algal cultures; biomass harvesting and characterization; trace-element analysis; geochemical or mineralogical methods; and statistical analysis of multivariate experimental data. Personal
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for parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data, including X-ray CT image reconstruction, segmentation and quantitative microstructure