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high-density 3D Multi-Electrode Arrays (3D-MEAs) — done in close collaboration with experts, providing full support as you learn to analyze this data. o Multi-Omic Profiling: Performing and analyzing
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survival time of the uncured depending on covariates (risk/prognostic factors, treatments). Your work will focus on developing statistical learning approaches that allow for high dimensional covariates and a
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January; multiple courses to follow from our Teaching and Learning Centre; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling
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over 30 industry partners to learn about their work and future career opportunities Have the opportunity to explore commercialisation of research outcomes through a spin-out company Join a programme
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-Facilitated Blended Interaction Learning Spaces: Project framework A persistent challenge in higher education is the asymmetry between learning formats: lecture-based teaching offers students clear pathways
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critical illness, the mechanistic pathways through which specific vitamins (B1, B6, B9, C, D, E) and trace elements (selenium, zinc) affect immune cell function remain poorly defined. To address these gaps
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 3 months ago
oriented If you fulfill all the requirements, you may be eligible for a salary grade of up to E 13 50%. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD
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Description Start date/duration 15.09.2026 for 4 years Job profile: Your tasks: Dissertation in the field of machine learning and robotics Independent research in the field of machine learning and robotics
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Description Start date/duration 15.09.2026 for 4 years Job profile: Your tasks: Dissertation in the field of machine learning and robotics Independent research in the field of machine learning and robotics
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nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and