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proteomics, advanced image analysis, and computational approaches to investigate molecular and cellular heterogeneity and to integrate spatial molecular information with histopathological and clinical data. We
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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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industry and includes practical process work, sample handling, analysis and interpretation of results in relation to the project objectives. Detailed description of the work duties, such as: plan, conduct
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and morphological analysis of microglia and neurons Apply for postdoc fellowship with help from the lab whenever possible. Requirements Essential requirements PhD in neuroscience Hands-on experience
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culture and molecular biology techniques, have hands-on experience with flow cytometry, including analysis and cell sorting, have documented experience working with animal models. The following
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develop frameworks and principles for increased joint cross-sectorial analysis of supply chain risks and disturbances. This includes qualitative and quantitative aspects of analyzing governance, risk
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-CT experiments as part of the user program but the methodology has not been optimised. In this project, we will optimise the scanning method, the hardware and the analysis software to make
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, and ageing, life cycle analysis & recycling. The project The project will be run within the BatMAX hub at MAX IV, which is a consortium of 4 universities (Chalmers, Lund, Uppsala and Aarhus) that will
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contributions include detector development, trigger and DAQ, physics and performance analysis as well as software development and computing. The LunDMX group currently consists of a postdoc, three faculty