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behavioral experimental research, and proficiency with programming and statistical analysis software (e.g., Matlab, PsychoPy, E-prime, R, SPSS). Previous experience with clinical populations will be viewed
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, statistics, and machine learning. We offer a full-time position with the following benefits: Flexible working conditions including negotiable part time contract. Monthly gross salary: 54 - 72 thousand CZK
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. Performs multivariate biostatistical analysis to support study outcomes. Participates in didactic continuing education. Engages in cardiovascular core curriculum and statistical methodology training. Writes
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-assisted mass spectrometry and vibrational spectroscopy. Advanced statistical analyses will be applied to link the information on the composition of the species, obtained by mass spectrometry, with
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 12 hours ago
the field. The ideal candidate will have: A completed or near-complete doctorate in Computer Science, Biomedical Engineering, Statistics, Bioinformatics, Medicine or Health Sciences, or a closely related
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interpret research datasets, drawing meaningful conclusions using appropriate statistical methods and scientific reasoning. Develop and optimize computational pipelines, scripts, and workflows using Python
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in epidemiological research using multivariable statistical models. Applicants must document strong oral and written English skills. Nordic applicants can document their English proficiency by
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enrichment (GO, KEGG), network analysis, genome assembly and binning, systems biology, and multi-omics integration. Apply statistical modelling, machine learning, and deep learning approaches for biomarker
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. Knowledge and experience in social science research methodologies. Good statistical knowledge and skills, including familiarity with statistical analysis tools (e.g., SPSS, R, Jamovi and JASP). Familiarity
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Computer Science, Statistics, Finance, Economics, or a related field. Very strong programming skills, especially in Python. Hands-on experience with large language models, AI agents, or machine-learning systems