85 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at Cornell University
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working on their own research and connecting to colleagues across the university. Depending on interests and feasibility, they may be able to teach and/or engage in off-campus fieldwork with Professor
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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how to apply, please visit: https://as.cornell.edu/research/klarman-fellowships Application deadline: October 15, 2025. This employer is not accepting applications for this position through
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assistants and research technicians. Start date: Anticipated start of February 1, 2026. To apply: Please apply via Academic Jobs Online (https://academicjobsonline.org/ajo/jobs/30970 ). Qualified candidates
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, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other
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. Supervision Exercised The individual is not expected to supervise others. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30990 Qualified candidates should submit a short
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supervision to research staff and student assistants consistent with CALS guidelines. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30939 Qualified candidates should
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Engineering, Applied Physics, or a related field. ● Strong programming skills (Arduino, microcontrollers, embedded systems, data acquisition, and control systems). ● Experience with laboratory instrumentation
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supervision to research staff and student assistants consistent with CALS guidelines. To apply: Please apply via Academic Jobs Online https://academicjobsonline.org/ajo/jobs/30939 Qualified candidates should
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development economics. Faculty members in the Dyson School frequently collaborate with colleagues in Computer and Information Sciences, Economics, Engineering, Natural Resources, and other units on campus