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. Practical experience applying machine learning or deep learning methods to biological data. Proficient in Python, with working knowledge of bash and experience using HPC or cluster environments (e.g. SLURM
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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to mitigate problems with underwater communication channels. Develop advanced signal processing algorithms for dynamic optical links. Program simulators and simulations with Python and MatLab. Write scientific
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the development of compact device modeling, SPICE simulation and with programming skills in general programs such as python, Matlab or similar. Experience on memristors is also acknowledged. Experience in circuit
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sustainability. For more details, please view https://www.ntu.edu.sg/ase . The Wetland Carbon Lab at NTU’s Asian School of the Environment (ASE) focuses on understanding the role of aquatic ecosystems, including
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cancer biology, molecular/cellular biology, genomics, or immunology with expertise in gene editing technology and NGS; flow cytometry and cell sorting; and bioinformatic and data integration, R/Python
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present. Evaluation of the trained models on suitable datasets. What you contribute Good knowledge in the field of machine learning and training neural networks. Good Python skills, preferably some
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(e.g., Python, MATLAB) Practical experience with laser optics, vacuum technology, cryogenics, and FEM simulations is highly desirable Proactive working style with high level of commitment in solving