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Field
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for a future career in research or postgraduate study. You will join a supportive team committed to helping you develop your research skills, professional network, and academic ambitions. A full candidate
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Preclinical Modelling Core Compensation Range $4,597.80 - $5,469.59 CAD Monthly Posting End Date August 31, 2026 Note: Applications will be accepted until 11:59 PM on the Posting End Date. Job End Date Ongoing
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skills, with the ability to engage diverse stakeholders. Experience developing networks, fostering community engagement and coordinating events, workshops or professional development activities. Strong
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’ projects. Our lab focuses on assessment and delivery of analgesic therapeutics in large animal models, from benchtop experiments to clinical research. Specifically, we work with pigs, dogs, cats, and
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to intellectual exchange and networking with various stakeholders linked to the Institute’s work. This job will provide excellent training for a fresh graduate or an early career researcher who is seeking
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opportunities for networking and collaboration with international research groups. You will hold a BSc 2:1 or higher in a relevant discipline (i.e., Developmental, Molecular and Cell Biology, Biochemistry
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and adoption by the Instructor of Record. Supporting program outreach and communication, including maintaining the Professional Development Network website (pdn.psu.edu) and preparing regular
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
data analysis and modeling. Communication of Results (50%) Communicate results through journal articles and conference presentations Minimum Qualifications Minimum Acceptable Education & Experience
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to supporting all staff through flexible working schemes, family-friendly policies, training and development, and staff networks. We value the enrichment that comes from a diverse community and seek to promote
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AML. We integrate multi-omics profiling of patient primary samples with iPSC, organoid, and mouse models to define disease mechanisms and identify therapeutic vulnerabilities. Lab website: https