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applications from prospective postdoctoral scholars. Potential projects involve investigating the neural mechanisms underlying age-related changes in spatial navigation and memory. Methods to be used include
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to offer. Qualifications: Required: PhD in ecology by start date Experience in plant phenology, biogeography, and spatial and temporal modeling (Bayesian and frequentist) Expertise in R or Python, GIS, big
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have expertise in geometallurgy, applied geochemistry, and geo-environmental assessment, with advanced proficiency in integrating spatial data into 3D models using sophisticated interpolation techniques
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high content imaging, multimodality in vivo imaging, proteomics, spatial and single-cell transcriptomics. As part of King’s Health Partners, we have an excellent environment for basic-clinical
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PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical
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of Civil and Environmental Engineering / Chaney Lab: Perform the core of the proposed research activities including processing the remotely sensed LST to compute the spatial statistics, run the HydroBlocks
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disorders. The successful candidate will apply cutting-edge techniques in spatial and single-cell transcriptomics to study the effects of gene knockouts across multiple scales, contributing to a comprehensive
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
productivity and strategies for sustainable management of selected marine ecosystems. Your Profile A PhD in conservation biology, geoinformatics, spatial ecology, or a related field A strong background in
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Your profile PhD in psychology, with a focus on at least one of the below areas: Cognitive psychology Differential psychology Neuropsychology Evaluation and Assessment Methodology and Statistics Interest
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spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The position offers an extraordinary team-based science environment with opportunities