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analysis to explore how nerve cells and support cells interact in health and disease. You’ll model a key ALS feature seen in most patients and use high-resolution single-cell techniques and drug screening
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across ecosystems (e.g., mobile, web, IoT, and smart TV environments) and to design scalable analysis and mitigation frameworks. The research will involve both empirical and methodological contributions
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for lifetime performance modelling. The key challenges are the robust integration of a sensor system in the structure and the analysis of measured signals, which are typically strongly affected by environmental
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systems are generally ill-conditioned. The project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and
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Fixed-term contract: 12 months. What do we offer? We offer a dynamic and inspiring environment with excellent support for experimental work and analysis, and great opportunities for collaboration
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analysis, especially peptide/protein identification or signal deconvolution, is desirable. Role Eligibility Requirements: Applicants must not have resided or carried out their main activity (work, studies
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qualitative research methods and data analysis, and are willing to further your knowledge and practical experience in line with the project’s needs. Practical experience with in-depth interviews is a plus, as
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an interdisciplinary team, the postholder will participate in the full process from setting up awake infant fMRI and/or OPM-MEG, experimental design, data acquisition, analysis, computational modelling, presenting work
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quantitative and/or qualitative research methods and be willing to further develop expertise in advanced methodologies. Experience with survey research, content analysis, statistical software (e.g., R, SPSS
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physics-based and data-driven modeling and data-analysis skills (e.g. Python, MATLAB, or comparable tools) are an advantage High interest in interdisciplinary research Excellent communication skills and