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Field
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, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open to fixed-term contract (renewable upon review
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degree in computer science, software engineering, mathematics, or a related field. Strong background in multimodal learning, natural language processing, domain adaptation, and knowledge graph
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engineering, computer science, or applied mathematics and a strong publication record in machine learning. The candidate will work closely with Dr. Cheung Wang Chi Dr. Vincent Tan and will use the postdoctoral
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Leibniz Institute for Natural Product Research and Infection Biology | Jena, Th ringen | Germany | 21 days ago
) in Automated Processing of Bioimages for three years initially with the prospect of prolongation. Research areas: automated image processing, machine learning, artificial intelligence, etc. In
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oral and written English. Experience: Expertise in research in algorithm design and distributed network optimization using machine learning, stochastic modelling, optimization, management science, or
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fields both locally (field by field) and regionally (groups of fields). Data driven analyses will be complemented by physical reservoir modelling, with machine learning approaches to extract correlations
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establishing priorities. Knowledge – Skills – Abilities Required knowledge: biology, chemistry, mathematics, statistics, documentation, records management, data utilization, complex problem solving, critical
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management. It is expected to deliver intelligent decision tools through reinforcement learning, simulation, and optimization techniques. Strong expertise in traffic simulation, mathematical programming, and
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, computer science, applied mathematics, or any related field. Candidates who have a strong analytical background in machine learning foundations, computer vision and perception, statistical learning theory
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experience of working with large databases, particularly those that contain geospatial data; experience of applying technical skills to solve real-world problems. Strong background in machine learning, data