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Field
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). Reactive transport modeling (COMSOL/MATLAB/Python). Micropollutant analysis (LC-MS, GC-MS). Knowledge of wastewater treatment and effluent characterization (COD, BOD, TSS). Technical Skills: Proficiency in
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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. Jingxian Wang (https://wangwireless.com/) in the Computer Science Department of the National University of Singapore. We invite applications for the position of Post-doctoral Researcher. We pursue research
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development, including Python, model integration, and system architecture design. Excellent communication and leadership skills, with prior experience in mentoring students or leading small teams. PhD degree in
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research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses on large datasets, have
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reproducible analysis pipelines (QIIME2, R, Python, or equivalent). Perform DNA extractions, barcoding, and library preparation for amplicon, and prepare metagenomic sequencing. Collaborate with a diverse team
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of errors between model predictions and post-operative reality This work will be carried out by the Biomécamot team (https://www.timc.fr/BiomecaMot ) at the TIMC laboratory, which is part of the CNRS's
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mechanistic modeling and ML frameworks (e.g., TensorFlow, PyTorch), and has strong programming skills (Python/MATLAB/C++). Join us to tackle sustainability and biomanufacturing challenges, mentor students
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. Knowledge of Python, web scraping, and text analysis would be an advantage. - Flexible, self-motivating, independent and able to manage multiple tasks efficiently. - Proficient in English. - Strong interest
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. • Proficiency with statistical and geospatial software (e.g., SPSS, R, Python for GIS). • At least 3 years of relevant work or research experience preferred. ________________________________________ Preferably