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is required. Selected candidate may be asked to complete a pre-employment physical including a drug screen. Strongly Preferred Qualifications: Demonstrable experience with the R statistical computing
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Geography Proof of proficiency in using spatial data analysis software (GIS) and statistical data analysis software (SPSS Statistics or R) Proof of English and Croatian language proficiency (certificate
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geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists
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in geography, geographic information systems, spatial statistics, or a related discipline you have demonstrable experience with quantitative spatial research approaches and land use change analysis you
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the Catwalk and Motorater equipment), spatial memory test (Y-maze). The software Anymaze to acquisition and analysis of behavior will be used for this purpose. Administration of golexanolone treatment to rats
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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
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particular emphasis on its contribution to biodiversity conservation and carbon sequestration under ecological restoration scenarios. The project will integrate spatial analysis, connectivity modelling, and
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Location: Singapore, Singapore 259569, Singapore Subject Area: Sociology / Applied Research Methods, Mixed Methods, Statistics, and Data Analysis Appl Deadline: 2026/01/17 00:00AM (posted 2025/12/22
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responses to the allograft and tolerance induction. We use systems immunology approaches including multiparameter immunophenotyping, transcriptomics, proteomics, leukocyte functional assays, and statistical