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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 16 days ago
; present work at scientific conferences; and mentor graduate and undergraduate students. REQUIRED: Ph.D. in Physics, Nuclear Engineering, Plasma Science, Computer Science, or a related field; experience with
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, computational biology Hands-on experience with analytical equipment (LC-MS/MS) and its maintenance Proven track-record in metabolomics method development and deployment for high-throughput studies of microbial
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. The T32 Training and Mentoring program brings participants to the Department of Psychiatry and Behavioral Sciences at the University of Miami for a two-year postdoctoral learning experience where they will
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of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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of Engineering Science. The post is funded by EPSRC and is fixed term to the 31st January 2027. A2I explores core challenges in AI and machine learning to enable robots to robustly and effectively operate in complex, real
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15 Nov 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Educational sciences Psychological sciences Researcher Profile Recognised Researcher (R2
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of Mathematical Sciences and Applications (BIMSA) invites applications for several postdoctoral positions in all fields of mathematics, theoretical physics, computer science, and their applications. The BIMSA post
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15 Nov 2025 Job Information Organisation/Company University of Basel Research Field Biological sciences » Other Chemistry » Analytical chemistry Engineering » Biomedical engineering Engineering
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Sciences We are seeking a postdoctoral researcher to support a real world evidence research programme at the UCD Clinical Research Centre, within the CRC Data Team led by Prof Alex Franciosi. They will work