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biochemical models, data assimilation, spatial analysis and GIS approaches. • Programing skills (e.g. R or Python) for data manipulation and visualisation, and to perform statistical analysis (e.g. mixed models
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interpretable framework for tensor analysis. Specifically, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for
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developing mathematical modelling and observational data analysis using high spatial, temporal and spectral resolution state-of-the-art solar telescopes (e.g. SST and/or the 4m aperture DKIST). There is also
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troubleshoot as required Expertise and Specialization: Apply molecular biology skills to perform Next Generation Sequencing (NGS) library preparation, single cell analysis, spatial transcriptomics and other
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 21 days ago
science, or a related subject Experienced in acoustic propagation modelling, signal processing, and data mining A strong background in programming, statistical analysis, and spatial modelling and mapping
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have: Ph.D. in Biostatistics, Statistics, Bioinformatics, Data Science, or related field; with (i). technical skills such as Proficiency in R, Python, or SAS for statistical analysis and modelling; (ii
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Specialist will be a member of the Department of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz. The position contributes to the INTERREG
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sustainability. Building on natural sciences and systems analysis, our interdisciplinary research connects technical and social sciences to address challenges such as climate change, energy transitions and land
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the scientific coordination and integration of the project's activities. Responsibilities include: • Data synthesis and integration across spatial and temporal scales, combining experimental, ecological
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of the three direction, each focusing on distinct but complementary areas of biomedical AI and data science: • Position 1: Postdoctoral Researcher in Medical Image Analysis (Pathology or Radiology) Duties