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relevant statistical analyses. Excellent oral and written communication skills in English. Specific Requirements Experience with fNIRS data collection and analysis. Strong interest in developmental
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experience • Background in food analysis and statistics. • Strong quantitative and analytical skills, including experience with chemometrics • Experience in chromatography and spectroscopy. • Excellent written
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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 2 months ago
the recruitment of participants for the project. -Collects data from different sources, organizes and analyzes them using appropriate statistical or computer tools. -Attendance at meetings of the European
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the economic impacts of the rapid transformation of electricity markets, and to help better design electricity markets going forward. The project will develop and implement novel statistical tools and structural
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schizophrenia. Functions to be developed: Filter EEG signals from transcranial magnetic neurostimulation. Analyze brain connectivity. Calculate statistical results and compare populations of schizophrenics
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Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA) | Spain | about 2 months ago
mechanisms, or analysis of immune cell traits. o Computational and data-analysis skills, including analysis of multi-omics datasets (e.g. bulk or single-cell RNA-seq, genomics, epigenomics), statistical
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Professional experience Experience in ecological modelling, oceanography, environmental sciences, statistical computing or a related discipline (PhD in any of this fields is desirable but not required) Strong
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experience in Data Science with a degree in Mathematics, Statistics, Physics, Bioinformatics, Engineering, Computer Science, or related quantitative discipline Technical & soft skills Computation in high
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now use only deep shotgun sequencing data to profile the microbiome. Our team is multidisciplinary, with expertise in quantitative/statistical genetics (e.g. heritability, GWAS, indirect/social genetic