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research programme. Key Responsibilities: Onsite experiments Data collection Data analysis Preparation of reports Paper writing Job Requirements: At least a Bachelor’s degree in related engineering fields
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with a wide range of neuroscience techniques, including data analysis,tissue staining, and postmortem MRI. What do we offer? You will be joining a highly collaborative research environment in the Ultra
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requirement gathering, gap analysis, data modelling and analysis, system/process analysis and user journey mapping. Proven experience in delivering digital solutions. Excellent writing skills, including
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studies under the direction of the principal investigator. Postdoctoral Associate for this position should have a strong background in molecular biology, histological analysis and cardiac surgery in animal
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California State University, San Bernardino | San Bernardino, California | United States | about 2 hours ago
QUALIFICATIONS Degree in hand by time of appointment. PhD in Criminology, Criminal Justice, Social Ecology, Geography, Data Science or closely related field with a focus on crime analysis/crime science
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knowledge of phylogenetic and statistical methods used in analysis of molecular data; documented proficiency in bioinformatics tools for the analysis of data generated using next-generation sequencing (NGS
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analysis Outstanding expertise in academic writing Excellent English language skills (spoken and written) Excellent skills regarding chemometrics, analytical data interpretation and visualization Knowledge
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project TARGETWISE. The candidate will be responsible for conducting machine learning omics data analysis within the computational team. The details on responsibilities, obligations and rights
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circulating tumor DNA, with comprehensive tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data
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, optimize, and maintain robust computational pipelines for single-cell and multi-omic data analysis, including scRNA-seq and spatial transcriptomic datasets. Establish and maintain workflows for 10x Genomics