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, workshops, demonstrators, and international collaboration activities within the AutHUMate consortium. Job requirements Essential: PhD in Human-Computer Interaction, Human Factors, Interaction Design or a
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machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
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identify those with the highest potential for early adoption in space engineering; translate theoretical advances into algorithmic innovations, design principles and prototype tools that can be integrated
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ranging from (bio)chemistry and physics to bioinformatics and cell biology. Our drive is to push boundaries in our aim to visualise molecular processes in their native context and at the highest possible
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also take an active role in group activities, such as master and PhD student education, presentation of your work, maintenance of lab organization, and societal and stakeholder outreach. What we ask
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by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, aerospace engineering
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or cryo-ET sample preparation, data collection and image processing is particularly valuable. You are interested in understanding molecular mechanisms of host–pathogen interactions and are willing
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-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods
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are developing technology to robotically manufacture robust optical circuits for quantum technology and beyond. We provided the circuit boards for the AQuRA optical lattice clock and are offering
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in close collaboration with Sjoerd Dirksen , Johannes Maly , and a PhD student that will start at the Ludwig-Maximilians-Universität (LMU) in Munich, Germany. During the project, you will spend two