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of microbiology and laboratory automation. We are looking for a highly motivated PhD candidate with a strong engineering mindset and a keen interest in AI, automation and microbiology. Prior experience in
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of microbiology and laboratory automation. We are looking for a highly motivated PhD candidate with a strong engineering mindset and a keen interest in AI, automation and microbiology. Prior experience in
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of microbiology and laboratory automation. We are looking for a highly motivated PhD candidate with a strong engineering mindset and a keen interest in AI, automation and microbiology. Prior experience in
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conversion of CO₂ into renewable fuels. Central to this effort is the investigation of advanced catalytic systems that bring together multiple functionalities, including components responsive to plasma
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PhD Scholarship in Design optimizer tool and predictive control system of a Megawatt Charging System
deliver cutting-edge research, provide top-notch designs and developments on power electronics, powertrains and smart green energy solutions with intelligent control systems for tomorrow's mobility
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of the results obtained from (semi-)automated AI based pseudonymization of texts. The research will also be contextualized in two industry relevant use case scenarios. Role and responsibilities This is a PhD
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. Experience in or willingness to learn analytical chemical analyses and data processing. Excellent command of English language (written & oral) and experience with scientific writing. Driver’s license valid in
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Networks, and ICT Services & Applications. Your role The SnT Automation & Robotics Research Group is hiring a motivated PhD candidate for the bi-national project DOMINANTS (Dexterity-Oriented Methodology in
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, Austria, and with Chrometra, a Belgian company. By being embedded in the WATER research network, you will also interact with parter groups located across multiple EU research groups, building your research
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-metallic clusters that combine plasmonic and catalytic metals These clusters will be deposited with high control over size and composition using cluster beam deposition on morphologically engineered TiO2