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candidates with a degree in materials science, solid state chemistry, electronic engineering or similar. Experience with one or more of the following areas is considered an advantage. Fuel cells and
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temperature. Research should be validated by theoretical, modelling, and experimental methods. You will participate in planning, execution, and documentation of projects with industrial partners. You will be
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prior experience in at least three of the following areas: Python programming Develop LLM-based tools to automate data connector generation for data ingestion. Design and implement a multi-layered storage
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must have a two-year master’s degree (120 ECTS points) or an equivalent academic qualification at the same level. We expect candidates to have demonstrated experience or strong interest in the following
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industry. We expect you to be able to handle and have an interest in experimental laboratory and formulation work. Experience with coatings may be an advantage. You are high performing, visionary and thrive
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expression and developability. Propose and validate optimization tools for performing (Bayesian) design of experiments. System validation and iterative refinement based on empirical data. Test and refine
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experience with: Signal processing Experimental design and data analysis Furthermore, the successful candidate is expected to: Have excellent knowledge of English (written and spoken). Have high self
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degree with an academic level equivalent to a two-year master's degree. You should have a degree in chemistry or chemical engineering and a very strong background in experimental organic chemistry
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experimental organic chemistry. Experience with method development and homogeneous catalysis is an advantage, but not a requirement. You must be able to work independently but also participate in collaborations
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Training: Conduct Silvaco TCAD simulations (fabrication processes, device modeling, and circuit-level simulations) . Experimental Work: Participate in cleanroom processes, device fabrication, and electrical