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catalysts. Optimization of the catalytic reaction will be carried out by tuning different reaction parameters such as pressure, temperature, concentration, catalyst dosage, etc. Throughout these research
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of these tools and will be expected to introduce their own modifications in order to adapt and optimize the analysis for the study at hand. Other tasks include: * Optimizing the experimental setup (4D observations
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FieldMathematicsYears of Research Experience1 - 4 Research FieldHistory » History of scienceYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in computer science or applied mathematics
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300mm etching reactors located in CEA/Leti's clean rooms. It will involve : 1) Create the lithographic design adapted to requirements (GDS) 2) develop/optimize plasma etching processes for AlGaN and GaN
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. Furthermore, the candidate can also study theoretical properties of the developed algorithms such as their complexity, optimality, and measures such as the regret. These algorithms are expected to be validated
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. The project will involve: • Synthesis and characterization of proton-conducting ceramic materials and composite electrodes. • Development and optimization of acid-base infiltration protocols for surface
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experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
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defined based on your profile and skills, ensuring a strong fit with the project's needs and your own expertise. As a key collaborator, you will work alongside me and two PhD students, taking the lead on
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” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
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and mRNA translation. The successful candidate will establish live imaging tools to analyse translation dynamics in regenerating axons, using an ex vivo culture model previously optimized (Schaeffer et