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on different conditions (composite electrode formulation, electrolyte formulation, pH, oxide or polymer-based negative electrode, temperature…) Optimisation of the devices. Redaction of drafts/publications and
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work tasks You will be part of ongoing research activities that address the market-driven operation and economic optimization of integrated electricity–cooling systems, with a particular focus on
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to for mechanistic studies. Use cutting-edge technologies for transcriptomic, proteomic, and metabolomic studies. Complete the assigned work in time. Complete complex research projects at different stages (advanced
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integrated energy systems that support the green transition. Your work tasks You will be part of ongoing research activities that address the market-driven operation and economic optimization of integrated
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; developing and optimizing doping protocols for conjugated polymers and other organic semiconductors; correlating materials chemistry and microstructure with electronic performance; implementing the resulting
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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
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modeling, control, and optimization of power and energy systems with applications to maritime and coastal infrastructures (e.g., shipboard microgrids, port facilities, islanded communities, desalination
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intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro-symbolic and context-aware reasoning
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. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Physics, Chemical Engineering, and Environmental Engineering focusing on different research fields such as
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the Commencing CRISPR Commons project, funded by the Gates Foundation, which aims to establish a plant‑optimized, freedom‑to‑operate genome editing platform based on the ThermoCas9 nuclease. CRISPR/Cas systems