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Field
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-performance computing clusters (>105,000 processors). This unique interdisciplinary environment emphasizes the integration of AI in life sciences, offering an outstanding platform for recent Ph.D. graduates
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multidisciplinary approach that combines expertise from computational sciences and chemistry to pharmacy and medicine. The convergence environment will include three PhD positions and one postdoc position
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mapping, data-driven mapping, and context-based programming with traditional (i.e. sketches, surveys) and advanced computer-aided design (CAD) tools. Applicants must have experience with qualitative
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may come from a diversity of disciplinary backgrounds, including but not limited to veterinary medicine, epidemiology, ecology, biology, computer/data science, economics and other social/behavioral
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Experience: Previous lab experience working with tissue culture. Previous lab experience working with protein expression and purification. Skills Written and verbal communication skills. Computer skills, data
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. Strong planning, organisational, computer literacy, and interpersonal skills, with the ability to manage competing priorities effectively. Sponsorship / work rights for Australia You must have unrestricted
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for funding agencies and stakeholders. Job Requirements: A PhD degree in Mathematics, Geophysics, Physics, Computer Sciences, or related areas. Strong background in numerical modeling and high-performance
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. The project will entail a combination of computational and experimental work, both directly and in collaboration with the PhD students, focusing on design and physio-chemical characterization of lipid membranes
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. Procedure Reference: IT137 - 26- 34 I - Legal admission requirements I.I - Grant Recipients: The scholarship is intended for Masters in Electrical and Computer Engineering, enrolled in a PhD programme or a
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. Experience working with medical images. Very good computer programming skills and physics background is essential. Desired Qualifications* Nuclear medicine imaging/dosimetry experience. Experience in image