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datasets. Conducting extensive independent statistical and spatial analyses to support research objectives. Drafting grant proposals and contributing to the development of new research proposals
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-seq, ATAC-seq, spatial transcriptomics, …) into modeling and develop efficient data/training pipelines Drive application cases with Helmholtz Munich, MDC Berlin, and NVIDIA—for example, disease modeling
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Person Specification Essential PhD or equivalent in hydrology, water resources, environmental sciences, or quantitative disciplines (e.g. maths, statistics, computing). Postdoctoral or equivalent applied
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of biodiversity and model the potential future biodiversity recovery given during land use transformation and restoration in Denmark. This involves spatial and temporal optimisation and prioritisation of land for
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cooperation with the supervisor. Qualifications Required qualifications: A master’s degree or equivalent in ecology Experience with GIS, spatial statistics and modelling Programming experience: R and/or Python
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. The diffusive frequency ω_ν, introduced for the first time within this framework, is a statistical variable related to the characteristic temporal width of wavefronts. Since the variables T_m and E_∞ can be
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approaches including flow cytometry, spatial proteomics, transcriptomics, confocal microscopy and biochemical assays. Utilize mouse models and patient-derived samples to explore how genetic and dietary factors
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of root-microbe interactions in forming stable soil organic matter in different soil types and under future climate scenarios using a range of different approaches, and in collaboration with Statistics
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density of natural enemies to test the hypothesis that these are more abundant on locally common species. Skills and techniques: The project will provide training in spatial statistics, GIS and statistical
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and biosensors to probe the biochemical and biophysical underpinnings of development cellular processes with high spatial and temporal resolution. We are seeking candidates with interests in