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well as developing and implementing novel approaches to answer research questions Scripting and automating robust analysis pipelines Writing of scientific manuscripts Presentation of work-in-progress and results
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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-throughput synthesis, automation, and data-driven approaches. The candidate will bring expertise in the synthesis and magnetic characterization of complex intermetallic systems, which will be leveraged
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and thermal-aware design techniques for embedded systems. Contribute to research outputs and support timely completion of project milestones. Job Requirements: Preferably PhD in Computer Engineering
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% super Develop automated workflows & collaborate with industry partner Apply now to join our dynamic research group and contribute to the development of high-throughput quantum chemistry workflows
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synthesis, partitioning, and verification automation. Integrate open-source and commercial tools (e.g., SpinalHDL) to build proof-of-concept design flows Building data pipelines for learning and knowledge
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river system Develop, test and apply algorithms for the processing and analysis of satellite data drawing on the latest physics-based and/or data-driven techniques Contribute to work on the automation and
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-reviewed journals/conferences Coordinate with research scholars and other students to meet project deliverables Job Requirements: PhD in robotics, automation or related fields Good written and oral
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independently and in close collaboration with in-country partners. The applicant should have an excellent academic track record that includes formal training in microbiology as well as a relevant PhD (public
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have a PhD Degree in Mechanical Engineering, Automation, Control Engineering, Mechatronics, etc. Strong background in path planning and decision-making. Candidates having relevant research or working