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ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro
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computational experiments and data pipelines Experience analyzing complex experimental data and large-scale datasets using advanced quantitative and statistical methods Track record of independent scientific
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth
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neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio-)Statistics
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and
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8 Jul 2026 Job Information Organisation/Company Saarland University Department Data Driven Simulation and Analysis in Material Science Research Field Computer science Researcher Profile Established
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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6 Jul 2026 Job Information Organisation/Company Leuphana University Lueneburg Department Institute of Sustainability Governance Research Field Political sciences » Governance Political sciences
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management and climate adaptation. Projects include large international Horizon Europe-financed collaborative projects (e.g., Landprint, Aquawise) or nationally funded projects. The successful candidate is
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interdisciplinary) research teams Desirable: - very good command of quantitative and qualitative research methods, especially experiences with computational large text data collection and analysis as well as with