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Field
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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/16, listed until 2026/02/17) Position Description: Apply Position Description Massachusetts Institute of Technology: Schwarzman College of Computing/Sloan School of Management The MIT Laboratory
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BioEngineering Experience with fluidics devices, 3D printed devices, 3D cell culture models and bioinformatics/computational biology (e.g., R, Python) is an asset Team player Proficient knowledge in English is
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advanced AI frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with bioinformatics tools and databases (e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux
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such as python. Experience with HPC environments and linear algebra. Demonstrated ability to conduct independent research and publish in peer-reviewed journals. Position Details : Location: College
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in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools and genomic data analysis. Strong programming and data analysis skills. Excellent
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to the field of research, especially those listed in the Science Citation Index, in relation to the duration of the candidate’s scientific career. Of special importance are the first-authored papers by
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modeling skills (e.g., Python, MATLAB, C++,TensorFlow/PyTorch). Familiarity with quantum information theory or quantum communication experiments is a plus. Excellent written and verbal communication skills
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in any of them is desirable, applied physics and mechanics laboratory experiments motion control and data acquisition machine Learning coding using Python writing using Latex. Sponsorship / work rights
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., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or