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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: How do microbiomes vary, and what does that mean for host health and fitness? 3) Landscape-Level Change: What drives spatial variation in population dynamics across ecosystems? 4) Next-Gen Monitoring
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person with an interdisciplinary background and training. QUALIFICATIONS: REQUIRED: o Very strong statistical and analytical skills with a strong background in causal inference approaches (e.g
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learning, AI, or statistical modeling applied to biological data Experience with genomics, transcriptomics, single-cell and/or spatial omics technologies Proficiency in scientific computing frameworks Strong
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the following: Generates, compiles and presents statistical data with appropriate conclusions, recommendations, etc. pertinent to research activity. Reviews and analyzes scientific data, scientific reports
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original
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hours; Health insurance, employee benefits, and life in a pleasant and safe city; Competitive salary. Where to apply E-mail vladimir.remes@upol.cz Website https://pracuj.upol.cz/nc/zprava/clanek/postdoc
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University of California Agriculture and Natural Resources | Oakland, California | United States | about 2 months ago
with team members. Responsible for statistical integrity, adequacy and accuracy of data, and the timeliness and effectiveness of all data collection and reporting systems. 10% Study design and proposal
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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
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multidisciplinary experience in combining integrative computational immunology – data-driven, state-of-the-art single cell resolution and spatial methods, machine learning and kinetic modeling – with integrative
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for the other courses may include introductory computational methods, statistical methods, text analysis, network analysis, spatial analysis, societal impact of AI, digital media, art and technology, social media