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Machine learning connected to the Scientific Computing and Machine Learning (SCML) group at the Department of Informatics. The candidate will be part of and contribute to the research activities in
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work on both probabilistic modeling, software development, and cancer biology analysis for this position. PhD in computer science, computational biology, or related quantitative field. Strong oral and
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frontiers of organ-on-a-chip and AI-driven translational biology. This project focuses on the development of modular micro-bioreactor platforms capable of supporting long-term culture, physiological
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per annum, depending on experience. Kā tino Pūkeka/Whēako | Essential skills/experience for the role You will have: A PhD in plant molecular biology or a closely related field Proven experience in
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This is for one position which can be appointed at either Associate or Fellow level depending on experience and skill set New full-time post is available from January 2026 on a fixed term basis for
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. Required Qualifications* PhD in computer science, computational biology, or related quantitative field. Strong oral and written communication skills. Desired Qualifications* Computational biology experience
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The purpose of this role is to support the work of the RICHeS programme at QUB providing research and access to archaeological and heritage science. The RICHeS Scientist (Research Fellow) will be a
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through cutting-edge research. Join Dr. Marcel van den Brink’s multidisciplinary team to explore innovative ways to decipher the molecular mechanisms by which the microbiome contributes to the biology of
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Requirements: Have relevant competence in the areas of material science and chemical synthesis Have a degree in materials science/ chemistry. Possessing a Master’s or PhD degree will be advantageous with prior
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junior students/researchers Job Requirements: PhD degree from a reputable university in chemical engineering, environmental engineering, mechanical engineering, etc. Excellent journal paper publication