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Masters or PhD/EngD level degree in a physical science or engineering discipline relevant to electrochemical cell research and development. Use your understanding of material science and electrochemical characterisation to analyse experimental data, which can be fed into the model.
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D. Kalashnikov et al, Nature Photonics 10, 98 (2016); A. Paterova et al, Science Advances 6(44), eabd0460 (2020); A. Paterova et al, ACS Photonics 9(6), 2151–2159 (2022)]. The project is related to quantum interferometry of correlated photon pairs and its application in broadband infrared microscopy and spectroscopy.
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In line with the organisation’s PPH goal, the DSA department aims to advance HPB’s analytics rigour and data science applications to maximise translational value of data-driven insights. Overview of Data Science & Analytics (DSA) department.
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PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent. PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent. This could include but not limited as photonic heterogeneous integration by bring various best-in-class materials into silicon wafer, electro-photonics integration, etc.
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Artificial Intelligence and Data Science Professor/Associate Professor/Assistant Professor. Applicants must have a doctorate degree in the Artificial Intelligence or Data Science field. We seek outstanding candidates in the area of Artificial Intelligence and Data Science.
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Undergraduate, or Postgraduate who is currently pursuing a degree/master in Computer Science, Computer Engineering, Information Systems or a related technical major. Familiar with many open source frameworks in the field of big data, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.
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Develop a long-term vision for HPC, networking, and data capabilities necessary to catapult the advancement efforts in science, engineering, the humanities and other disciplines that rely on state-of-the-art technologies for progress.
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Strong and existing networks within the early-stage life science community and key ecosystem stakeholders in Singapore are desired. We seek to translate excellent science into impactful medicines, globalize Singapore/Asia-originated innovation, and foster a collaborative environment for creativity and scientific excellence.
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Bachelor's degree or above in computer science, software engineering, or a related field 2. Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.
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In Electrical Engineering, Microelectronics, Chemical Engineering, Material Science or a related field. in Electrical Engineering, Microelectronics, Chemical Engineering, Material Science or a related field.
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Robust knowledge of material and electrode characterisation, including particle size distribution, SEM, BET, DSC/TGA, XRD, porosimetry, ionic and electronic conductivity analysis and electrode expansion.
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Recommended Skills: Active Directory Group Administration, Firewalls (Computer Science), Incident Management, Information Technology, Maintenance. Degree in Computer Science / Information Technology or equivalent.
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Experience in Pharmaceutical or Life Science projects. Responsible for developing and controlling the Project Work Schedule, covering building works, M&E, and Process Systems from concept design to construction/installation to testing & commissioning.
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Click Here To View Job Description.
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The National University of Singapore intends to hire tenure-track faculty members whose expertise is in Data Science or Statistics. Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the Department of Statistics and Data Science.
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