1,849 data-"https:"-"https:"-"https:"-"https:"-"MASSEY-UNIVERSITY" Fellowship positions
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interpretation of these data Familiarity with usage of artificial intelligence to advance wet lab and dry lab research Experience working with disease models to investigate underlying mechanisms or evaluate
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experience working with the Levin Center. The fellow will work closely with Levin Center staff and will report directly to the Levin Center director. The fellow will conduct research, data analysis, and
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Information Stephanie Vincent Pierce Hall, Room 222 29 Oxford St. Cambridge, MA 02138 Contact Email svincent@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent
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basis starting from 01/04/2026 for 24 months. For further information, please contact: Prof. Victoria Chapman (victoria.chapman@nottingham.ac.uk ), Dr Federico Dajas-Bailador (F.Dajas-Bailador
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agencies. Qualifications • PhD in Robotics, Mechanical Engineering, Mechatronics, Computer Vision, or a closely related field. • Strong expertise in robot design and at least one of
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or via email at pai.zheng@polyu.edu.hk or li-qiao.xia@polyu.edu.hk for further information. Conditions of Service The remuneration rates are HK$385 per hour for the post of Postdoctoral Fellow, HK$178 per
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. You will develop sensitive methods with excellent quality control, be able to interpret high-resolution mass spectrometry data, conduct MS/MS experiments, and quantify or semi-quantify analytes in
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projects based around inflammatory and immune mechanisms in the ocular microenvironment. To assist medical research by carrying out sample processing, laboratory analyses and data collection, thereby
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in modelling infectious disease dynamics, population