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on software, statistics, and research methods Compile and organize links to online statistical and research methods resources for trainees and faculty researchers Required Qualifications PhD by time of
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research records. Candidates should have a PhD degree in mathematics, statistics or closely related area by the expected start date. KIMSI offers internationally competitive salary and benefit. Successful
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research records. Candidates should have a PhD degree in mathematics, statistics or closely related area by the expected start date. KIMSI offers internationally competitive salary and benefit. Successful
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alongside longstanding regional partner organizations in Kenya. Qualifications: Expertise in a relevant discipline (e.g., epidemiology, ecology, nutrition, economics) with PhD conferred by the start of
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progression to PhD depending on performance during the initial period. Main duties and responsibilities Admin - ordering consumables, tracking cost and use of consumables PIL training - opportunity to acquire a
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statistical methods for modelling and data treatment engage in teaching, innovation and advisory activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics
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publishing in international journals We expect that you have: The successful candidate must have a PhD degree or document equivalent qualifications in a relevant field related to environmental sciences, like
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Candidates must have a PhD and proven research experience in computationalanalyses, statistics, mathematical modeling, or engineering. Prior experience inophthalmology research is not required. Preferences
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models and data-driven longitudinal statistical analysis. The successful applicant will have access to a variety of datasets covering diabetes, AMD, Glaucoma and rare genetic retinal diseases. With