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advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning
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candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD in the related fields shown below. The candidate is expected to have hands-on experience in
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Management:Assist in managing research projects, including drafting funding proposals, coordinating with partners, and monitoring budgets. Required Qualifications : PhD: A PhD in digital public health, urban health
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partners, and other research institutions; Publish research findings in peer-reviewed scientific journals. Qualifications: PhD in geology of igneous rocks or equivalent, obtained within the past two years
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organizations. Publish the results in peer-reviewed journals. Supervise Master and PhD students. Education PhD in formulation/coating science or related field from a recognized University Requirement At least 5
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applied to the phosphate industry. Key Responsibilities 1. Analysis and Monitoring of Radionuclides and Heavy Metals: o Develop and implement nuclear analysis methods to characterize phosphate ores
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plant performance. Analyze experimental data using appropriate statistical methods and communicate findings through scientific publications. Work closely with researchers from other disciplines, such as
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recognized university. Excellent English communication, both verbal and written, is required. Criteria of the candidate: Postdoc PhD degree in the mentioned areas of research or other related fields from a
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results at international conferences, workshops and meetings. Mentor master’s and PhD students as part of research activities. Collaborate with internal and external researchers to strengthen
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to the in-situ field measurements at Itatinga. The Ecotron experiments are not part of the postdoctoral work and will be made by a French PhD student. Combining data from Eucalyptus stands and