116 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Linköping-university" Fellowship positions in Singapore
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organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements Development of data collection and storage framework Plan and perform the collection
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academic activities such as timetabling, faculty and guest lecturer coordination, student engagement, and reporting Contribute to curriculum development and delivery of teaching across multiple formats (e.g
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imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS), both clinical and
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requirements PhD in Physics, Applied Mathematics, Computational Science, or a related field Strong background in machine learning, particularly in the development and application of neural networks
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for polyurethane. Key Responsibilities: Conduct research and development activities on polymer pre-treatment before mechanical/chemical upcycling, including formulation of problem statement, design and execution
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of this joint laboratory is towards the development of innovative nanotechnologies and nanomaterials for various electronic and photonic applications. We are looking for a Research Fellow that will lead advanced
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/protocol development, study design and management of research activities. Contribute to occasional educational / instructional activities and project management. Assist in writing and monitoring animal
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Biology and Plant Physiology), Agricultural studies or Agronomics Study or work experience in research and development on topics on nanomaterials synthesis, chemical engineering, process design and
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to the development of synthetic organic or polymer materials and their applications in sustainability. The candidate is expected to have a strong background in Synthesis, Engineering, or Materials Science. More
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requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data