133 parallel-processing-bioinformatics-"Multiple" Fellowship positions at Nanyang Technological University
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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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surgery and dissection Demonstrate experience and specialized expertise in multiphoton/ 2-photon in vivo calcium imaging and data analysis, or in gnotobiotic studies and microbiome analysis/bioinformatics
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bonding strategies to enable mechanical durability and signal fidelity in multimodal sensors. Conduct validation of sensor arrays across multiple modalities, ensuring performance across variable
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Strong foundation in CFD, Programming proficiency such as Python, AI/ML techniques, Experience with parallel computing on CPU/GPU cluster, use of CUDA, MPI is a plus. Experience Experience with open-source
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of invertebrate specimens (4) stable isotope analysis of leaf litter and soil samples. Findings of the study will improve our understanding of nutrient cycling processes in urban parks and forests, while also
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The Biosensor Innovation Group, led by Professor Shlomo Yitzchaik, has world-leading expertise in multiple research areas, such as material science, surface chemistry, and biosensors for small
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world-leading expertise in multiple research areas, such as peptide chemistry, peptide modifications, microbiology, antimicrobial peptides design and synthesis, solid phase chemistry, peptide bacterial
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which
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, such as PennyLane, Qiskit, and similar platforms, is preferred. Capable of handling multiple tasks across projects and research activities. Showing excellent communication skills, and willingness to learn
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research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which