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techniques (e.g., DNA/RNA extraction, PCR, qPCR, metagenomics, transcriptomics) to study microbial communities in soil environments. Develop and optimize laboratory protocols for characterization, and
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, and materials characterization to join a cutting-edge research team. The project focuses on developing sustainable and optimized processes for vanadium extraction and purification, with the goal
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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treatment experiments (e.g., calcination, roasting, smelting), and optimization of pyrometallurgical flow sheets for the production of value-added materials or metals.The selected candidate will contribute
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ore quality and optimize operational decisions. 2. Key Responsibilities The selected candidate will be responsible for: Analyzing mining extraction processes and their interaction with the new washing
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research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis with bipolar membranes (BMED] for sustainable desalination brine treatment, at the crossroads
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Engineering, Materials Science, or a related field. Extensive experience in unit operations and chemical processes. Proven expertise in formulation development and product optimization. Ability to design and
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-on experience in optimizing extraction processes and characterizing bioactive ingredients from various biomass. Demonstrated competence in purification/isolation and structure elucidation of pure natural products
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trials, analyze data, and publish findings in high-impact journals. The role requires active participation in an interdisciplinary team to evaluate and optimize integrated soil fertility management
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor