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, machine learning, and life cycle assessment, we aim to create sustainable wearable systems to enhance human well-being. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a
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computational pipelines for multiplex imaging, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune
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regulatory network. Be involved in manuscripts/reports preparation. Work closely with other team members and train new members Required Qualifications* PhD in Bioinformatics/Statistics Strong experience in
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· Communicate project progress and coordinate with research team Duration: · 3 ½ months Preferred start date as soon as possible but flexible. Basic Qualifications: · PhD or equivalent in engineering, building
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quantum chemistry, experience with machine learning regression methods. Preferred start date as soon as possible but flexible. Basic Qualifications PhD in Physics, Chemistry, Materials Science, Computer
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the start of the position. Both teaching and UNIPED training must occur within the 3 years of this Postdoc position Mentoring bachelor/master students and collaborating with PhD candidates
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of this Postdoc position Mentoring bachelor/master students and collaborating with PhD candidates of the aforementioned research groups, helping them with their research projects, and advising on methodology
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have, or be close to completing, a PhD in a relevant subject such as water treatment, environmental engineering, chemical engineering, process engineering, or a closely related discipline. You should
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, reduced chemical use, water reuse, and the production of valuable recovered products for agricultural and industrial applications. About You You will have, or be close to completing, a PhD in a relevant
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applications, and presenting research at local, national and international forums. PhD supervision and public engagement experience is also desirable. You will bring deep expertise in ML/DL techniques, NLP