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every process that involves automation. The Postdoctoral researcher will join the research team in InAFQual, a project funded by the Interreg Aurora, a funding programme in the European Interreg community
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at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor-bandgap-key-future-green-electronics, https://c3nit.se/ Subject description The purpose of this project is to develop a data
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience will strengthen your application: It is highly
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specialization in freshwater ecology, limnology or similar fields. We seek a candidate with experience in leading scientific publication process, and the ideal candidate must demonstrate ability to produce high
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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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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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experience from modern LC-MS method development and analysis You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience
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of electrochemical processes with enzymatic catalysis for the selective and sustainable synthesis of value-added chemicals, including the conversion and upgrading of CO2 , biomass-derived molecules, and other small
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method development and analysis You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The following experience will strengthen your