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in bioinformatics or genomic data analysis, and possess strong programming skills in languages commonly used in bioinformatics, such as Python and R. Candidates should also have experience with genomic
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or Departmental Website: https://med.stanford.edu/michellelinlab.html (link is external) How to Submit Application Materials: Please send materials to PI Dr. Michelle Lin (mplin [at] stanford.edu) with the subject
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recognized for world-class academics, life-changing research, compassionate health care, and a strong commitment to faith and service. Premila’s research group (https://sites.google.com/view/premila-research
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validation (preferred) • Good programming skills (MATLAB, Python, or similar) • Ability to work in an international and interdisciplinary research environment • Good written and spoken English Specific
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of postdoctoral experience or equivalent in using DFT for studying reaction mechanisms and materials. Demonstrated programming skills (Python, Fortran, C++). Proven track record of publishing scientific papers in
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the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R, Python). Demonstrated ability to independently design and conduct experiments, analyze data, and
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. Preferred Qualifications: Proficient in Python (or C/C++) & R programming. Strong quantitative background (e.g., statistical modeling, machine learning, computational or theoretical physics, etc
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Science, physics, mathematics, engineering or a related discipline Strong Python skills Experience with modern deep-learning architectures The ability to properly report, organize and publish research data
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Computational Cost by Machine Learning and DFT-Based Data, Journal of Chemical Theory and Computation, 2024, 20 (16), 7287–7299. Funding category: Contrat doctoral PHD Country: France Where to apply Website https
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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