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biology to better understand mechanisms of treatment resistance and identify new therapeutic targets. To achieve this, we apply state-of-the-art technologies for molecular tumor analysis using both solid
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of spatially separated EEG channels Applyjng optical flow analysis Applying principal component analysis on multichannel data Pedagogical competence Great emphasis will be placed on whether the applicant, based
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data analysis, and working with large population-based cohorts and clinical biobanks. The student will learn how to scientifically assess the study quality, perform appropriate study design, conduct high
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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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studies ranging from the development and preclinical evaluation of radiopharmaceuticals to biological characterization, quantitative image analysis, and assessment of treatment response. Within the research
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for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the
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, and anthropogenic factors such as tillage, fertilization and metal contamination. We study the microbial control and environmental dependence of ecosystem functions using field and laboratory
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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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plan and participating in relevant doctoral courses, the position includes the following duties: Processing and preparing bone marrow and blood samples from mice and humans for analysis Flow cytometry
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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