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received after the review date will only be considered if the position has not yet been filled. Position description The Computational Medicine Research Group led by Prof. Pratik Shah at the University
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treatment and improved clinical outcomes. The supervisory team of Dr. Paul Facey, Dr. Claire Morgan and Prof. Dean Harris, bringing expertise in cancer genomics, microbiology, and clinical translation
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model of human working memory. During the project, we will follow an intertwined model-experimental approach. First, we will use electroencephalography (EEG) experiments to investigate the neural basis
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antibacterial polymers intended for use in percutaneous bone-contacting hearing implants (BCHIs). The project explores photo-activated antimicrobial materials, assessing their mechanical, adhesive, and biological
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emissions by increasing the use of post-consumer scrap in aluminium production. Your work will enable the creation of high-quality aluminium surfaces that meet the highest standards, all while contributing
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motivation to drive technology towards the market. Are you passionate about science? Full of ideas and innovative potential to drive change? Do you see yourself working in an international fast-paced, highly
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The studentship is with University of Salford and APOS Academic Supervisor: Prof Richard Jones Academic Co-Supervisor: Dr Carina Price Industrial Supervisors: Ganit Segal The studentship is fully
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November 1, 2025. If you have any further questions, please do not hesitate to contact Prof. Sabine Pahl (sabine.pahl@univie.ac.at ), Dr. Mathew White (Mathew.White@univie.ac.at or Dr. Nina Vaupotič
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space. We quantify these changes, identify their causes and describe their impacts on biodiversity and ecosystem ser-vices. To do this we use a combination of diverse methods, from empirical research
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polymer technologies, that deliver their anti-attachment performance without the use of actives that kill. Hence, they will not contribute to the increase in Anti-Microbial Resistance (AMR). The project