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and perform simulations using established software like MEEP and COMSOL, as well as custom-written code based on languages like C++, Python, Matlab Lead papers and publish in high-impact journals
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with Bayesian inference or machine learning is an advantage. • Proficiency in Python and/or R; experience with probabilistic programming (Stan, PyMC, NumPyro) or deep learning frameworks (PyTorch, JAX
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of many-body physics and integrable systems, or related topics, into quantum computing applications is preferred Proficiency in Python (required) and/or other programming languages Experience with Guppy and
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management will be seen favorably Proficiency in a statistical package (e.g., Stata, R, or Python) preferred, but is not necessary We regret that only shortlisted candidates will be notified. Hiring
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Statistical software (R, Python) We regret to inform that only shortlisted candidates will be notified. Hiring Institution: LKC
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. Laboratory experience analyzing coastal sediments and interpretation of results. Proficient in statistical analyses and modelling using relevant software (e.g., R, MatLab, Python etc.). Skilled in Microsoft
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information, or quantum algorithms Knowledge of machine learning (e.g., deep learning, optimization, or learning theory) Programming skills in Python and experience with scientific computing (e.g., NumPy, SciPy
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Windows server administration, installing applications and data science tools (R, RStudio, Python, Anaconda). Experience with cloud monitoring tools (AWS SNS, CloudWatch, billing dashboards) and budget
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Strong analytical, research, and scientific writing skills Proficiency in Python for modeling and machine learning applications Effective communication, teamwork, and presentation abilities Self-motivated
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, presentations, and draft manuscripts. Proficiency in hard skills, such as implementing and evaluating algorithms in Python, and maintaining reproducible experimentation. Competent in soft skills, such as problem