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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Research Associate position involves laboratory research in biomedical science. The position studies focus on an animal model of arthritis and include in vivo studies (muscles and behavioral analyses
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. Collect and process environmental and insect samples for DNA sequencing. Analyse microbial communities associated with freshwater habi-tats and pollinators. Direct and support to the analysis of high
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(obtained max. 6 years ago; this term of 6 years is determined by the date written on the above-mentioned required diploma). You have obtained a Laboratory Animal Course certificate (e.g. FELASA B), allowing
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with potential exposure to biological and chemical hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals. Salary Range: Base pay is
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, python, mothur, QIIME, MaAsLin, etc. • Experience in working with animal models • Ability to design and conduct experiments and analyze, interpret, and synthesize results as demonstrated through peer
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) as the laboratory technician in the cerebrovascular lab. Job duties include: conducting experiments under supervision of professor (animal care and surgeries), writing and revising IACUC and IRB
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of the Dutch Experiments on Animals Act, or a comparable EU certification for experimental animal use, is an advantage. Proficiency with programming languages (Python, MATLAB, R) is a plus. Additional
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hazards. The individual must be physically able to wear protective equipment and to provide standard care to research animals. Salary Range: Base pay is commensurate with experience. The above statements
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? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In accordance with the The Competitive Hiring Process Code of Charles University
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methods with the ability to implement and evaluate machine-learning systems at scale. Candidates may come from topological data analysis, geometric deep learning, network science, statistical physics