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Field
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of the appointment. Demonstrated proficiency in data analysis, statistical modeling, and data visualization using R, Python, or comparable analytical software. Evidence of effective scientific communication through
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: Statistical programming and data analysis using R, Python, or Matlab, Spatial data analysis or GIS Whole-genome sequencing, phylogenetics, or phylodynamics Data management and reproducible analytical workflows
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Position Title: Postdoctoral Research Associate – Agronomy (Agroecosystem Modeling) Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: A postdoctoral
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Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) | Leipzig, Sachsen | Germany | 3 months ago
representations to support cognition across domains. Under this umbrella, we explore: Spatial navigation, temporal, episodic, and working memory Learning, decision making, and knowledge acquisition Translational
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-cell transcriptomic, and spatial transcriptomic analysis for brain metastasis research. Utilizing hESC/iPSC derived human cerebral organoid for in vitro 3D models to examine the microenvironment of brain
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of these interactions into soil and ecosystem models. Depending on the selected candidate, the research project can focus on statistical analysis of literature data, process-based modelling, or a combination of the two
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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling
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-epithelial interactions. The role employs a multi-modal research approach spanning genetically engineered mouse models, histopathology, mouse and human organoids, CRISPR-Cas9 gene editing, single-cell
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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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are governed not only by differential equations, but also by geometric constraints, conservation laws, symmetries, and interactions across multiple spatial and temporal scales. Developing mathematical