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PhD Studentship in: Algae speciation and bloom risks in drinking water reservoirs: linking microbiological and environmental parameters to prevent treatment impacts School of Mechanical, Aerospace
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team climate. For more information about the lab and its work, please visit the lab website: https://www.lmrt.mit.edu/ Professor Bhatia is an educator deeply committed to mentoring students and teaching
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, such as the ability to estimate certain parameters that are difficult to estimate on separate data sets and improve their accuracy, but require special precautions to avoid unrealistic results. The ultimate
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environment. Knowledge of CPR and basic concept of abnormal vital sign parameters is a must. Candidate will also need strong organizational, prioritization, basic computer navigation skills, and a working
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basic concept of abnormal vital sign parameters is a must. Candidate will also need strong organizational, prioritization, basic computer navigation skills, and a working knowledge of the Internet. Valid
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environment. Knowledge of CPR and basic concept of abnormal vital sign parameters is a must. Candidate will also need strong organizational, prioritization, basic computer navigation skills, and a working
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environment. Knowledge of CPR and basic concept of abnormal vital sign parameters is a must. Candidate will also need strong organizational, prioritization, basic computer navigation skills, and a working
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parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Persons with
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attending an academic Bachelor’s degree in the scientific field mentioned above. Knowledge or experience (preferred) on machine learning or computer vision techniques, and interest in developing such skills
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projects. They will be trained in relevant data analysis techniques. Required skills will include high-parameter flow cytometry, basic molecular techniques such as PCR and ELISA, cell culture, data