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research team In addition, these qualities can be of benefit: Practical and scientific expertise in cell culture Practical and scientific expertise in statistical analysis of clinical cohorts Knowledge and
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degrees in either the natural sciences (chemistry, physics, mathematical/computational biology) or in the formal sciences (statistics, computer science, mathematics), but must have a serious interest in
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statistical analyses, strong understanding of the strengths and weaknesses of scientific research and / or experience of qualitative research. Expertise will be gained in how to design and conduct a clinical
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Disclosure of Campus Security Policy and Campus Crime Statistics Act (the Clery Act), UCSC publishes an Annual Security and Fire Safety Report . This report is published by October 1st of each year and
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University of California, Los Angeles | Los Angeles, California | United States | about 20 hours ago
of California, Los Angeles is committed to providing reasonable accommodations to applicants with disabilities . See our Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act Annual
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, R) Expertise in machine learning, Bayesian statistics is beneficial Capacity for interdisciplinary teamwork and excellent communication skills Ability to communicate in English fluently
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, chemical or molecular lab work, advanced statistical analyses, and experiments with insects (preferably including different trophic levels) are merits. As a person, you are responsible and scientifically
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will require successful completion of background check(s) in accordance with University policies. CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and
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psychology A successfully completed scientific university degree in psychology Accurate working and strong team spirit Confident handling of large, longitudinal data sets Competent use of statistics and data
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, including: Genomic technologies – hands-on experience in long-read sequencing and variant interpretation Bioinformatics – pipeline development, visualisation, and statistical modelling PRS – applying big data