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of the BMS in lithium-ion batteries, including sensors, actuators, and controllers. In our facility, we are establishing a research unit focused on developing the necessary hardware and software components
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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of software tools for the broader research community. Responsibilities: Develop and implement transformer-based genomic language models for bacterial genome analysis. Train and evaluate models on large-scale
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software and techniques. Background in plant biology and physiology, especially related to stress responses. Experience with high-throughput phenotyping tools and data analysis. Publication record
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
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interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical
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systems (software, platforms). Develop decision-support tools based on simulations for public and private stakeholders. Contribute to scientific publications and establish partnerships with public, private
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assessment in urban environments. Proficiency in hydrological modeling software (SWMM, HEC-RAS, or equivalent). Experience with GIS tools (ArcGIS, QGIS) for spatial analysis and mapping of water flows and risk
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. Simulation Tools: Proficiency in simulation software (e.g., AnyLogic, SimPy, MATLAB/Simulink) to replicate waste management systems. Waste Management Processes: In-depth understanding of waste collection
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. Familiarity with the industrial valorization of marine resources, including their potential applications in agriculture. Proficiency in experimental design, data analysis, and statistical software. Excellent