41 data-"https:"-"https:"-"https:"-"https:"-"UNIVERSITY-OF-LUXEMBOURG" Postdoctoral positions in Australia
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data into brain-like signals delivered to Cortical Labs' biological neurocomputation platform. Your key responsibilities will be to: conduct original, high-quality research independently and
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the opportunity We are seeking to appoint a Postdoctoral Research Associate in Mathematics and Statistics to work on a project entitled “Data-driven modelling of dynamical systems: A measure transport
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, an outstanding collaborative research environment. Your key responsibilities will be to: conduct laboratory research and data analysis, making significant contributions to our understanding of brain metabolism and
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-culture, single-cell RNA sequencing, data analysis and in vivo models—to interrogate B cell responses in human samples and pre-clinical systems. This research aims to generate mechanistic insight
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mindset. Desirable: Experience working with industry partners or on industry-focused research. Knowledge of advanced characterisation techniques (SEM, EDX, XRD, tribology). Experience with data-driven
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developing network of academic, industry and professional partners, supported by strong computer literacy and a commitment to responsive, professional service. Sponsorship / work rights for Australia You must
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young (18 to 24 years) Aboriginal and Torres Strait Islander people who are in custody. The Research Associate would help coordinate and undertake data collection, data interpretation and development
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the Centre for IoT and Telecommunications (CIoTT) in the School of Electrical and Computer Engineering. CIoTT is internationally recognised for excellence in wireless communications and signal processing and
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Scientia Professor, the Post-Doctoral Fellow will undertake advanced data management and statistical analysis of large, complex linked datasets, contribute to rigorous study design, and ensure high standards
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data analysis and familiarity with HPLC/GC/LC‑MS Excellent communication skills and the ability to work both independently and collaboratively Experience with scale‑up/scale‑down approaches and an