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We are looking for a Postdoc who is eager to contribute to a prospective breast cancer screening trial focused on optimizing mammography interpretation with AI assistance. In this project, we will
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, rental platforms, and production systems—where decision-making must balance conflicting objectives, leverage real-time data, and ultimately support sustainable profitability. Examples include optimizing
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life-long follow-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance
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-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance multimodal deep learning
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developing morphing surfaces enabled by Shape Memory Alloys (SMAs). These adaptive winglets are designed to optimize aerodynamic performance by responding to temperature variations and incorporating active
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light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological
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optimize the synthetic genome that encodes for a biological function such as shape manipulation. Next to all this, the candidate will also do research on entropic segregation of synthetic genomes by testing
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to join our team as a Postdoc in Process Intensification for Cellular Agriculture, with a focus on Bioprocess design of a Scale-out Production Methodology. As a postdoc you will be responsible
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handling platform and hanging droplet evaporator to process single cells, exosome samples and other biomass restricted samples for high resolution mass spectrometric analysis. As a Research Engineer, you
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Organisation Job description Postdoctoral position: ManufActuring contRol Sonicare (MARS) Due to the complexity of the assembly process anomalies can occur, that lead to unplanned downtime and sub