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networks and machine learning strategies for the analysis of scattering data. Large amount of scattering data obtained in our group requires development of the advanced analysis techniques. In this project
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Description In the research group Dependable and Autonomous Cyber-physical Systems (DACS) on Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology has an immediate vacancy for a research assistant (m/f/d) (TV-L E 13) in the field of Reliable (Safe and...
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and knowledge. We may be able to teach you missing skills during your induction. Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in
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for Maillard reaction in Brassica foods – GluAmin’, which is funded by German Research Foundation: PhD student (f/m/d) in the field of food chemistry Reference number: 14/2025/3 The salary will be based
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Your Job: The transformation of the European energy system to greenhouse gas neutrality will promote independence from fossil fuels. However, it raises the question of how to deal with emissions that cannot be avoided for technical or economic reasons. In the future, these must be captured and...
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models. Your tasks: Research, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in
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05.01.2025, Wissenschaftliches Personal The group “sustainable energy materials” offers a position to pursue a PhD (f/m/d) in Electrochemistry / Automation About us: Our group “Sustainable Energy
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passionate about creating a pioneering map where calories are located and microbially transformed in a soil aggregate? Then this exciting PhD opportunity is for you! The project is part of the SoilSystems SPP
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, Management Science, Business Analytics, or a related field. Strong analytical skills with experience in AI, machine learning, or data analytics. Very good English skills in writing and communication
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quality control tools for distributed models, and iii) robustness to data and model poisoning attacks. In this context, we are looking for a PhD Candidate who has a strong background in machine/deep