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. Talent Network Development & Stakeholder Engagement (15%) Build and maintain a talent pipeline and network of subject matter experts, advisors, and potential management team members for spinout companies
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research areas, supervision of PhD students and postdocs within your research area, teaching on research methodology and methods, supervision, and other teaching duties at the Division of Risk Management and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 12 days ago
working at The University of North Carolina at Chapel Hill More Jobs from This Employer https://main.hercjobs.org/jobs/22155948/data-manager Return to Search Results
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to uncertainties and gaps. To relax these constraints and make PINNs more robust, several approaches can be considered depending on the context, each offering different ways to handle uncertainties in physical
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. Candidates must have completed a terminal degree (PhD or equivalent) before starting. This is a unique 10-month, non-tenure track faculty position designed for scholars who wish to integrate research, teaching
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 20 hours ago
Enrolment: 40 Estimated TA support: 38 hours Qualifications: Relevant PhD is preferred, or at least a Masters in Business Administration or related field. Must have demonstrated experience in teaching Risk
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) Positions PhD Positions Application Deadline 22 May 2026 - 23:59 (Europe/Tallinn) Country Estonia Type of Contract Permanent Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Sep 2026 Is the job
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) Positions PhD Positions Application Deadline 22 May 2026 - 23:59 (Europe/Tallinn) Country Estonia Type of Contract Permanent Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Sep 2026 Is the job
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is looking for a PhD Student (f/m/d) - Electrochemical swing adsorption of carbon dioxide. Your tasks Performing quantum mechanical and ML-based simulations to determine CO2 adsorption energies
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PhD researcher in AI:GENOMIX, you will contribute to next-generation models that rethink polygenic prediction and support the future of precision medicine. AI:X is an ambitious initiative at Aalborg