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-economic assessment and life cycle analysis methodologies. • Proficiency with modelling and simulation software relevant to TEA and LCA. • High analytical ability to analyse and illuminate data
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research work equivalent to at least half a year’s relevant scientific workload. Academic transcripts (university degrees only). Copy of master's degree diploma. Applicants submitting transcripts from non
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half a year’s relevant scientific workload. Academic transcripts (university degrees only). Copy of master's degree diploma. Applicants submitting transcripts from non-Norwegian institutions are advised
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. Academic transcripts (university degrees only). Copy of master's degree diploma. Applicants submitting transcripts from non-Norwegian institutions are advised to include an explanation of their university's
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material design process. Some potential key research objectives: AI Model Development: Create machine learning models to predict FGM properties based on compositional gradients and processing conditions
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 05-Aug-25 Location: Tuscaloosa, Alabama Type: Full-time Categories: Research - Laboratory/Non-Laboratory Staff
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Required Qualifications* PhD degree in bioinformatics Minimum 1 year of relevant experience Hands-on experience with R and/or Python and performing independent computational modeling. Ability to maintain
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external partners; and contribute through presentations, publications, and strategic activities. REQUIRED: PhD, MD, or equivalent by December 31, 2025; strong interest in interdisciplinary health/life
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Materials, Bioinspired Materials and Sustainable Materials. In MSE, Prof. Li Shuzhou is interested in exploring cutting-edge scientific opportunities in computational and theoretical material modelling
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represent the research group at external meetings/seminars. This post is fixed-term for 6 months. We expect the successful candidate to be able to start as soon as possible and no later than 1 December 2025