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Field
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related discipline involving the interrogation of ‘omics’ datasets, or expected to obtain a degree in the near future. Solid skills in at least one programming language (R, python, or Perl) and experience
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: Experience with rodent behavior and olfaction. Proficiency in Python or other programming language for large data analysis. Experience with quantitative approaches to studying animal behavior. Experience with
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, experience with plant molecular biology and biochemistry such as western blots, immunoprecipitation, protein kinase assays, plant immune assays; data analysis using R and Python, multivariate statistics
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to continuously learn new skills, methods and concepts, and 2) to enjoy finding new solutions in the face of new and unforeseen difficulties. The ideal candidate has very good 1) python programming skills, 2
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ExperienceNone Additional Information Eligibility criteria Python programming. Analysis and development of ML and DL models using standard data science libraries. Data engineering from molecular dynamics
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mathematical problems with equilibrium constraints Knowledge of simulation/modelling and development tools - MATLAB, Python and mathematical programming language Experience with optimisation solvers would be
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analysis techniques for biomarkers and statistical analysis using Python. The candidate will be expected to lead research on using biomarkers to reconstruct past climate changes, including presenting
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computational and statistical approaches. Develop, implement, and maintain reproducible analysis pipelines (QIIME2, R, Python, or equivalent). Perform DNA extractions, barcoding, and library preparation
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Information Eligibility criteria * Skills/knowledge: statistical physics, physical chemistry, machine learning * Expertise: molecular simulations, programming experience (Python, C++, Julia, C, etc.), Python
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for electro-optic modeling Desirable Skills Data analysis using Python Experience with autonomous or AI-assisted synthesis workflows Familiarity with quantum transduction or quantum information science