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Field
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interaction of these fields in terms of theories, methods and techniques, as well as their application via concepts, strategies and spatial interventions, as a significant part of ETD's research portfolio
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biology and offer training in human histology, statistics, omics data analysis, computer vision, grant writing, and scientific publishing. Required Qualifications: 1. A doctoral degree (PhD, MD
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, scATAC-seq, scTR-seq, and/or spatial transcriptomics). Previous experience in both Bioinformatics/Genomics and Cancer Biology is desirable. The Postdoc is expected to collaborate closely with experimental
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, and validate machine learning and statistical models for health risk prediction; Analyse heterogeneous health-related datasets, including clinical, longitudinal, environmental, demographic
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, Territorial Planning and Management, Economic Geography, and related fields; experience in the construction, development, and interpretation of databases; use of statistical software; analysis of agent networks
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project. Specific Requirements Essential Criteria A PhD qualification in Statistics or a related discipline Appropriate research experience. Appropriate technical competence and accomplishment. A capability
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multiparameter immunophenotyping, transcriptomics, proteomics, leukocyte functional assays, and statistical and computational biology to define mechanisms of cellular and humoral immunity to the transplanted organ
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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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Group focuses on biodiversity research, population ecology, and spatial ecology, with the aim of generating scientific knowledge useful for conservation and the sustainable management of agricultural
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assays, and statistical and computational biology to define mechanisms of cellular and humoral immunity to the transplanted organ and how alloimmunity is suppressed in patients receiving donor