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Field
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should hold a relevant PhD/DPhil (e.g. Tissue Engineering, Biomaterials, Biochemical Engineering) or be near completion*, together with experience in 3D cell/tissue culture, bioreactor design or perfusion
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(Faculty of Civil Engineering and Geosciences) and work closely with Dr Louise Nuijens and an (inter)national network of collaborators. QUASI offers a unique opportunity to combine cutting edge observations
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statistics and in general data science. You - the Post doc - is particularly expected to do research work within civil engineering with a focus on sustainability. Additionally, you will have the opportunity
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 22 hours ago
and graduate students Minimum Acceptable Education & Experience: PhD degree in Civil Engineering, Geography, or related fields Required Knowledge, Skills & Abilities: Proficient in geospatial data
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; Nanopore Sensing and Sequencing, 3D Tissue Construction, and Device Engineering to create next-generation technologies that translate discovery into clinical impact. EIT Oxford fosters a culture of
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https://ore.ucc.ie/ Informal enquiries can be made in confidence to Prof Jerry Murphy, Chair of Civil Engineering, School of Engineering and Architecture, Tel: + 353 (0) 86 0554493; Email: jerry.murphy
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biomedical engineering and related areas. Preferred Qualifications PhD in biomedical engineering and related areas. Physical Demands Salary Range $55,000 - $65,000 Special Instructions Summary Is a background
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 12 days ago
22 Jan 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Civil engineering
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Selection of T cell target receptors Evaluation of T cell profiles Data analyses using R T cell co-culture system to assess target cell recognition CRISPR/CAS based engineering of T cells Functional