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create a sustainable world? In our multidisciplinary research team, we have a PhD vacancy in catalysts development for urea synthesis. Join our team to design and improve, in close cooperation with other
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behaviors; 2) body image development; and 3) sexuality development. Additionally, mental health and psychological well-being will be jointly studied with the postdoctoral researcher. PhD candidates will be
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behaviour change: development and evaluation of a Brain Health Score (BHS) within a developed digital nutrition intervention Project Description: Diet is an underexploited modifiable influencer on brain
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1st August 2026 Languages English English English The Department of Energy and Process Engineering has a vacancy for a PhD Candidate in biodiversity impact assessment development Apply for this job
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technological development. As a PhD student in this project, you will operate and evaluate different laboratory-scale biogas processes with the aim of optimising both biogas production and biofertiliser quality
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PhD Position in Engineering Materials Project: Development and Characterization of Advanced Sorbents
, with a focus on the design and development of advanced sorbent materials for environmental and gas-cleaning applications. The research subject “Engineering Materials” has ongoing research programs span
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10th July 2026 Languages English English English The Department of Geosciences has a vacancy for a PhD Candidate in Methodology Development for Utilisation of Mining Waste (waste rock and tailings
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Training Program (RTP) Fee-Offset a four-year project expense and development package of $13,000 per annum a three-month industry engagement component with Gelomics a structured professional development and
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-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research
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of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic