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. Procedure Reference: IT137-25-521 I - Legal admission requirements I.I - Grant Recipients: Master's in the scientific areas of Informatics Engineering or Data Science and Engineering, enrolled in a Ph.D
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Research Centre for the Management of Agricultural and Environmental Risks (CEIGRAM) - Universidad Politécnica de Madrid (UPM) | Spain | about 2 months ago
@upm.es Requirements Research FieldAgricultural sciences » Agricultural productsEducation LevelMaster Degree or equivalent Skills/Qualifications • Experience in handling images • Experience in using
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Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors
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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
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Programme (NSIP). The position is full-time and fixed-term until 31 March 2027. This interdisciplinary project is conducted in collaboration with the Department of Plant Sciences and other industry partners
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projects. Familiar with text or image data processing, machine learning, or data visualization tools. Long-term interest in pursuing a Ph.D. in a business-related field. Compensation and Benefits Competitive
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The Department of Electrical & Computer Engineering (ECE) at The University of Alabama is recruiting motivated PhD students to join our cutting-edge research program.Qualified applicants can
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology, which may also then be used
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for Plant Breeding Research conducts basic research on plants and their development using a wide variety of methods, in particular molecular genetics, genomics, imaging processes, computational biology and
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background in Computational Biology/Genetics/Genomics/Bioinformatics/Molecular Biology. Candidates with expertise in applying AI/ML to high-throughput omics data, processing, and curating large-scale omics