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on the Liang lab, please visit: https://www.wistar.org/our-scientists/chengyu-liang/ Recent PhD graduates from related fields with a record of peer-reviewed publications, strong laboratory experience
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of results in scientific journals Requirements PhD in Physics, Engineering, Economics, Environmental Sciences, Mathematics, System Sciences or a related field training in formal, quantitative methods
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at conferences and outreach events. Essential qualifications: A PhD (or equivalent) in a quantitative discipline (physics, mathematics, quantitative biology or similar) completed by November 2025 Proficiency in
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ideas, leading group-meeting presentations, driving scientific discussions, and representing the team at conferences and outreach events. Essential qualitications: PhD (or equivalent) in Life Sciences
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a final report. Active collaboration with project partners is also expected. Your profile Applicants should hold a PhD in mechanical engineering at the time of starting the position. The selected
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writing and electronically and prepare proposals and applications to external bodies. Applicants will possess, or be nearing completion of a relevant PhD, or possess an equivalent qualification/experience
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, and positioning for subsequent fundraising and go-to-market activities Actively contribute to securing follow-up funding together with the fundraising team Your profile University degree (MSc or PhD) in
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analysis with practically motivated case studies, offering a strong foundation for researchers interested in advancing the mathematical understanding of geometric deep learning. Your Qualifications PhD
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core
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to disseminating scientific results to the public and taking part in patients and public involvement and engagement activities; Contributing to MSc and PhD students supervision, as requested and appropriate