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Information Management, or related fields; Have basic knowledge of machine learning models in supervised and unsupervised learning tasks (i.e., k-nearest neighbours, Decision Trees, Neural Networks, Logistic
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The School of Human and Health Sciences offers various scholarship opportunities for MSc by Research and PhD. These are for UK applicants only and for the January 2027 start. All scholarships
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eligible for an exception to this work arrangement. Alternative work arrangements may also be considered to accommodate candidates as required. To learn more about these options, please contact the NRC
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 1 month ago
applications is open for the award of 1 (one) Research Grant for a master's degree holder enrolled in a PhD programme, within the scope of internally funded or self-funded projects of IGOT-ULisboa. Reference
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/ MECI (PIDDAC). Work plan: The work plan involves the development of a PhD project, with the ultimate aim of submitting a doctoral thesis. The PhD project must be aligned with the theme of CHAM’s
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(100%) doctoral scholarship holder in the field of computer vision and modelling for biomedical applications Position You will work actively on the preparation and defence of a PhD thesis in the field
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several provisions of the EBI. 2. Admission requirements: Applicants must hold a Master's degree and be enrolled in or commit to enrolling in a PhD programme in a higher education institution (proof
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and harmonization of qualitative and quantitative spatial data to support the co-design and evaluation of Nature-Based Solutions; or possession of a PhD relevant to the required experience. - Knowledge
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of experience at a research institution or university conducting research on mathematical optimization methods, complex system management, and decision support; or possession of a PhD relevant to the
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(100%)doctoral scholarship holder in the field of reproductive pathophysiology and toxicology Position You will work actively on the preparation and defence of a PhD thesis of reproductive