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of sequence and genome data (computational skills) in compliance with the FAIR principles, have experience in working with non-model organisms (animals), have experience in developing independent research
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number A228-25 Is the Job related to staff position within a Research Infrastructure? No Offer Description In
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. Research Focus The rise of powerful Large Language Models (LLMs) and autonomous AI agents is set to fundamentally change the practice of software engineering. As AI evolves from simple co-pilots to agents
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different models, test them and evaluate them with scores. What you bring to the table You are enrolled as a student in Computer Science, Engineering, Natural Sciences or a comparable degree program Basic
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laboratories for measuring trace substances as well as observation stations within and outside Europe. Scientific goals are numerical modelling of atmosphere-land ecosystems using modern statistical methods
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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electrochemical impedance spectroscopy (EIS) directly during the disassembly process to classify the cells for their reusability. A pre-trained machine learning model for assessing cell condition based on EIS data
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Designing a standardized heating network model to test the interface Conducting thorough analyses of the simulation results Your Profile: Studying Mathematics, Physics, Computer Science, Electrical
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developing the laboratory for molecular beam epitaxy at the Heinrich Hertz Institute Operation of a gas-source MBE, model Riber 412 Implementation and development of epitaxy processes using MBE Management
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of Convolutional Neural Networks (CNNs) and Spiking Neural Networks (SNNs), with a strong emphasis on deploying these models on hardware-constrained edge platforms. The position focuses on developing robust