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, Geoscience, Remote Sensing, Hydrology, Data Science, Physics, or related fields • Experience in machine learning (ML), artificial intelligence (AI) or related fields • Software skills in ML languages such as
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
for selected electro-organic transformation in detail: Design, validation and verification of online and offline analytical methods Design, synthesis, and characterization of catalytic materials Utilization
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knowledge of electrochemistry and experience with fuel cell test Ability to cooperate across disciplines in an international environment Independent, structured and target oriented way of working Software
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techniques. We built pipelines based on AlphaFold and in-house developed software to predict structures of interacting proteins and in collaboration with the Steinegger lab, developed highly efficient AI-based
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English language skills Ideally good German language skills, both written and spoken Preferably experience in software development Our Offer: We work on the very latest issues that impact our society and are
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internships at KU Leuven (Prof. Rodolphe Sepulchre) and at TU Delft (Prof. Charlotte Frenkel) Participate in yearly retreats organized by the doctoral network participants Support the dissemination of software
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of software tools and concepts. Supervise student projects and BSc/MSc theses. Your Profile: APPLICANTS MUST COMPLY WITH THE MSCA MOBILITY RULES: in general, they must not have resided or carried out their main
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Infrastructure? No Offer Description Work group: PGI-15 - Neuromorphic Software Eco System Area of research: Promotion Job description: Your Job: The conventional, manual co-design of algorithms and hardware is
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and in-house developed software to predict structures of interacting proteins and in collaboration with the Steinegger lab, developed highly efficient AI-based algorithms to compute similarity between
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with