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and managing scalable ETL (Extract, Transform, Load) pipelines to integrate multi-source, multimodal datasets Applying big-data analytic, including spatio-temporal modeling and deep learning techniques
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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conditions and thrive in interdisciplinary teams. You bring excellent organisational, communication, and analytical skills, and are committed to advancing evidence-based mental health care . Key
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analytical and numerical modelling Publication track record is an advantage We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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Responsibilities: Undertake research on algorithms and data systems for next-generation data preparation and data cleaning for data analytics. Produce research papers, reports, and presentations as required by
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, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant to the project domain. Demonstrated capability to conduct innovative
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communication skills. Strong analytical and conceptual abilities. Able to work independently and in a team to realize proposed research work. Publication track record is an advantage. Proficiency in basics
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Writing Sample The writing sample can be any length and should demonstrate your analytical and writing abilities (preferably, but not necessarily, in economics). It should preferably be individual work
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cleaning, alignment, variant calling, and filtering is highly desirable. Experience on R scripting, analytical pipeline developing, and interpreting is desirable. Skills in GWAS, QTL, genomic selection, and
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damage in composite repairs due to environmental degradation and mechanical loading. This research requires deep understanding of analytical and experimental ultrasonic NDT methods, demonstrated knowledge