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We are seeking a Postdoctoral Researcher in Geospatial Urban Big Data to support the analysis of urban dynamics and decision-making in territorial planning. The candidate must be proficient in GIS
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focused on developing and applying methods for estimating the causal treatment effects on health outcomes using large health data. The Mission of the P-HOPER Center is to conduct innovative population
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to multitask and work independently as well as in a team. Experience in large-scale research project management and development, knowledge of statistics and big data analysis would be highly desirable. A highly
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. Analyzes large data sets. Analyzes next generation sequencing data (e.g., RNS-seq, whole genome/exome sequencing). Uses state-of-the-art bioinformatical and statistical tools. Develops new statistical
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research environment supported by a team with broad expertise in data science, infectious diseases, hepatology, and clinical informatics. You will take a leading role in analysing large-scale, longitudinal
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genomics, with cutting-edge methods, large data sets and good resources A creative role combining a high degree of autonomy with mentorship from Dr. Lappalainen and interactions with colleagues in the lab
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Description Job Responsibilities -Analyze and interpret metagenomic data to investigate and identify often divergent viral genome sequences. -Collect, reconstruct and analyze large datasets obtain by cryo
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undergraduate or graduate students, if appropriate. Additional Information The ideal candidate should be an independent, solution-oriented thinker with a strong background in processing very large data sets
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Job Description Job Responsibilities: -Design and implement AI/ML models to analyze large-scale agricultural datasets (e.g., field trials, satellite imagery, IoT sensor data). -Develop pipelines
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collaborative research on immune development and responses to respiratory viruses. Analyze clinical and large-scale datasets (e.g., genomic, transcriptomic, proteomic data). Design and execute experiments using