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make use of historical and new datasets from several SuperDARN radars along with data from the EISCAT radars to determine this. Furthermore, the candidate is expected to develop new analysis methods
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of the liver to resolve inflammation and restore tissue homeostasis. The PhD will focus on developing a robust, microfluidic platform for in‑depth analysis of liver - immune cell interactions. For more
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neuroimaging research and clinical neuroscience is necessary. The project relies on advanced neuroimaging and data analysis, including MRI/fMRI processing and analysis, functional connectivity methods
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System Operation and Analysis (PSOA) at IEL, where we foster an open, inclusive, and collaborative working environment. Our working environment is characterized by a friendly, supportive atmosphere, with
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, microfluidic platform for in‑depth analysis of liver - immune cell interactions Qualifications Master’s degree in Biology, Biotechnology, or a closely related field. Minimum of two years of relevant post
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and will be embedded in an interdisciplinary team. The duration of appointment is 3 years. Key tasks The PhD will focus on developing a robust, microfluidic platform for in‑depth analysis of liver
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. Experience with laboratory experiments (batch incubations, microcosms, or similar). Knowledge of chemical analysis techniques, such as ICP-OES or ICP-MS, ion chromatography, and nutrient analysis. Experience
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(WEFE) nexus, and model-based learning and communication. The group makes use of a variety of tools and techniques: stakeholder mapping, governance analysis, participatory modeling, non-linear feedback
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languages. Experience in bioinformatic analysis of genomic data. Excellent English written and oral communication skills. Experience with 3D chromatin conformation capture methods (practical and/or
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psychology, reskilling or generative AI at work. Strong quantitative or mixed-methods skills and interest in measurement and longitudinal organisational research. Experience with surveys, multivariate analysis