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. This post is full-time and fixed term for two years with the potential to extend depending on further funding. The successful candidate will hold, or be close to completion of, a PhD/DPhil in economics or
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emphasis on electron microscopy (EM) data. Communication: Excellent analytical, oral, and written communication skills. Application Instructions To apply for this position, please submit the following items
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Infrastructure Computer Vision Data Analytics for the Built Environment You should possess: A completed PhD in a relevant discipline. Strong research expertise in digital engineering and built environment research
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data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy
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to completion) in a biomedical, bioinformatic or relevant subject. You must have a strong bioinformatic, analytical and programming skills, applicable or multi-omic or spatial data. You need to have a strong
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strong bioinformatic, analytical and programming skills, applicable or multi-omic or spatial data. You need to have a strong interest in the research topic including renal pathology and to hold experience
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maintenance. About you The Kelly lab welcomes individuals with diverse career backgrounds – PhD-level (you will hold, or be close to completion of a PhD) scientists in any discipline with expertise in data and
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. The post holder provides guidance to less experienced members of the research group, including postdocs, research assistants, technicians, PhD, and project students. This full-time fixed-term post is funded
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position is at the Department of Business Analytics and Decisions in the work group Production and Logistics. The Department of Business Analytics and Decisions is part of the Faculty of Business, Economics
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developing machine learning pipelines for imaging data. Excellent analytical, problem-solving and communication skills. The ability to work independently and collaboratively within a multidisciplinary research