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AI models. Identifying relevant modalities to enhance prediction performance, with a focus on multi-spectral sensors, will be a key research area. Additionally, anomaly detection for modalities other
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components are in use. More specifically, the PhD position will look towards connecting different advanced software tools (of multi-physics and data-based models) simulating the metal AM process
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, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics modelling, autonomous materials discovery, materials
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and enjoys working with complex, multi-disciplinary topics. In summary, the main tasks of the PhD position are: To perform research in power systems balancing with a focus on European power and energy
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equivalent to a two-year master's degree Extensive and demonstrable experience (through publications or thesis work) with multi-parametric flow cytometry Experience with isolation and culture of human
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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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English and interpersonal skills for working in a multi-disciplinary team environment. Willingness to engage in group work with a multi-national team; Able to work independently; Approval and Enrolment
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industry’s biggest challenges: Closed-Loop Design and Optimization of Biologics. The research program will build on the recent advances in protein design, automation, and multi-parameter optimization and