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part of the project team. Applicant requirements Ph.D. in bioinformatics, proteomics, drug design and development, genomics, mathematics, computer science, or related fields Complete CV Short research
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
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: Mathematical Modeling: Develop mathematical models to simulate and optimize the entire waste management chain—from collection to treatment. Data Integration and Analysis: Integrate real-time and historical data
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research theoretical optics, focusing on mathematical modeling of optical materials, nonlinear optical systems, and optical phenomena in advanced materials. Teaching Responsibilities: Complex Analysis
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interdisciplinary teams that involve experimentalists and modelers Criteria of the candidates: PhD in Chemical/Mechanical Engineering, Applied Chemistry, Applied Mathematics, Physics, or related disciplines, with
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Mathematics, Physics, or related disciplines, with a focus on reactor and process design and development. Strong motivation and passion for research in the field of CCUS/decarbonization/Carbon management
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-impact journals and conferences. Mentor students in related research projects. Qualifications : A Ph.D. (awarded or near completion) in applied mathematics, computer science, or a closely related field
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technical background in at least one of the following areas: Mathematical optimization, Resource allocation, Machine learning, Wireless communication. Good communication skills in oral and written English
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. Contribute to the supervision of master and PhD students. Qualifications: Ph.D. in Earth Sciences, Remote Sensing, Physics, Applied mathematics, or related field. Strong background in land surface modeling
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development, genomics, mathematics, computer science, or related fields Complete CV Short research statement (summary) Interest in intracellular organelle/cell biology, signal transduction, proteomics, drug