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scaling and generalization behavior Roll out the model to the global user community Requirements PhD or MSc in computer science, physics, mathematics or a related discipline Experience with large-scale HPC
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requirements A PhD in a relevant subject such as mathematics, computer science, physics, engineering, or a related discipline. Candidates who have not yet defended their PhD are eligible to apply, provided
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Doctoral Scientist position. This position will report to Professor Jose Polo, Lead of the Cancer Epigenetics Program at the South Australian Immunogenomics Cancer Institute (SAiGENCI) and the Inaugural
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2-yr postdoc on Forecasting Biosphere-Scale Effects of Ecological Novelty Using Species Distribut...
team members, including students. This collaboration involves sharing skills and contributing to problem-solving within the postdoc’s area of expertise. Your profile Applicants must have a PhD degree in
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Infrastructure Engineering. Undergraduate and graduate degrees (Master and PhD) are offered in civil & environmental engineering, computer engineering, electrical and electronic engineering, and mechanical
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to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific
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. degree (up to one year into the future) are also encouraged to apply. PhD awarding university must be ranked in the QS Top 500 (2025 edition ) Essential Knowledge & Skills In-depth knowledge and a strong
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fundamental research and the pharmaceutical and biotechnology industries. The research program is co-funded by the Australian Research Council and the Sydney- and US-based biotech company INSAMO and the
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program are allowed to participate provided that they obtain their PhD by May 14, 2025. In this case, candidates are admitted to the selection with reservation, so that if they are selected but do not have
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number: 2025-0107 We have an open postdoctoral position in the Division “Personalized Medical Oncology” (head: Prof. Sonja Loges MD, PhD). The Department “Personalized Medical Oncology” focusses