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coding, including familiarity with data analysis and bioinformatics tools relevant to neurobiological research. Extensive experience supervising postgraduate students and supporting research teams
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learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICLR, ICCV, ECCV, NeurIPS, ICML. Strong coding skills in scientific or engineering software like PyTorch, TensorFlow, Keras, etc
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prior knowledge and experience in fluid mechanics, for both steady and unsteady flow behaviours Relevant experience in both commercial (ANSYS Fluent preferably) and opensource CFD code (OpenFoam
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operational systems with large numbers of atoms. The recent demonstration of high-fidelity gates, and the implementation of error-corrections codes have positioned NAA-based QP at the forefront in
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English communication skills, the ability to write code using Python or MATLAB, the desire and ability to work as part of a multicultural team, and a demonstrated ability for creating intellectual value
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. Experience working with human post-mortem tissue to corroborate experimental findings is highly desirable, as is competence in computational biology through coding skills tailored to bioinformatics analyses. A
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. Qualifications Experience writing/using computer code Experience supervising postgraduate students and/or staff Experience presenting research findings at national and international conferences, seminars, and
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data interpretation and communication skills Excellent scientific writing skills (manuscripts and grant applications) Knowledge in device development and coding is a plus Soft skills: self-motivated
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postdoctoral experience). Proficient coding skills in at least one of Matlab, R and Python. Experience and proficient in processing different types of remote sensing datasets. Experience with terrestrial
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of the feasibility assessment for the community-based falls intervention. This process also includes verifying and coding verbatim transcripts from these interviews to maintain data integrity and