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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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rolling basis until the position is filled. A starting date earlier than fall 2026 is also possible. Applicants must hold a PhD degree in Mathematics, statistics or theoretical computer science. The terms
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research with a strong focus on cardio‑oncology populations. We are seeking a highly motivated postdoctoral dietitian (PhD RD) who is eager to contribute to innovative clinical and behavioral intervention
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Missouri University of Science and Technology | Rolla, Missouri | United States | about 14 hours ago
/quality control procedures for soil fertility and soil health testing. Compile, manage, and analyze multi-site, multi-year datasets; conduct appropriate statistical analyses and contribute to data-driven
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PhD Positions Application Deadline 16 Feb 2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Mar 2026 Is the job funded
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academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc.), and candidates should
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of findings for the National Report on Education Supporting the supervision of qualification theses and commitment in applying for third-party funding Your profile Above-average PhD in a relevant discipline (e.g
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Researcher (R2) Positions PhD Positions Application Deadline 15 Feb 2026 - 23:45 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through
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grant applications Participate in laboratory meetings, departmental research seminars, and multidisciplinary conferences Qualifications PhD, MD/PhD, or equivalent doctoral degree in molecular biology
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PIs, publish manuscripts, and apply for career development grants. Develops statistical and generative AI models for single-cell and spatial data from the Martin Lab and multimodal (genetic, imaging