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with a wide range of neuroscience techniques, including data analysis,tissue staining, and postmortem MRI. What do we offer? You will be joining a highly collaborative research environment in the Ultra
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diagnostics, and ecological and statistical data analysis. About the position The doctoral student will plan and carry out field and laboratory studies, analyse and interpret data, and communicate results
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of statistical analysis of experimental data; an interest in field-based agricultural research; good written and spoken English; and a driving licence valid for use in Sweden. The following qualifications would be
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molecular or cellular biology - Excellent English language skills - Prior experience with image analysis or patch-clamp electrophysiology is highly valued How to apply: Please send: a CV and short expression
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-canonical caspase substrates; multicolor/spectral flow cytometry; RT-qPCR, Western blot and cytokine assays; phagocytosis and T-cell functional assays; analysis of primary AML samples. The project will also
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Analysis and Computational Methods: Develop and apply computational pipelines for processing large-scale imaging datasets, integrating structural and functional data, and identifying organizational
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. The researcher will work closely with a supervisory team that includes expertise of health inequalities, service access, equity diversity and inclusion, place-based-health and statistical analysis. Research
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. The project will combine field experiments and forest health surveys with disease and damage assessment, fungal isolation and culturing, molecular diagnostics, and ecological and statistical data analysis
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, but for example: University of Ulm (Germany): Algorithms for wearable data analysis University of Manchester (UK): Mathematical modeling of hormone rhythms Qualifications and personal qualities: We
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learning, materials characterisation or computational materials science. Previous experience with machine learning, computer vision, graph neural networks, Python, SEM/EBSD, XRD, image analysis