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Field
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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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alternatives such as HBI, DRI, and scrap. These changes introduce new challenges in maintaining furnace stability, gas flow, and productivity. This PhD project focuses on developing and applying advanced
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group in the Department of Cognitive Robotics. You will be supervised by associate professor Luka Peternel and associate professor Jens Kober, and work with MSc students and PhD candidates in
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expected. The candidate will be co-promotor of PhD candidates within this field. Selection criteria We are looking for a highly motivated candidate, who has: A PhD degree in a relevant discipline, typically
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background and interests. Candidate Profile We are looking for candidates who meet the following criteria: PhD in a related discipline. Expertise in one of the following areas: Single-cell and spatial
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with future developments in the industrial ecology field What you bring This position is a good fit for you if you recognise yourself in the following: You hold a PhD in one these fields
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This position is a good fit for you if you recognise yourself in the following: You hold a PhD in one these fields: computer science, information science, industrial ecology, operational research, environmental
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This position is a good fit for you if you recognise yourself in the following: You hold a PhD in one these fields: computer science, information science, industrial ecology, operational research, environmental
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, 27 PhD candidates and seven research assistants. ADP is part of the graduate school Wageningen Institute of Animal Sciences (WIAS) and one of the 12 chair groups within the department of Animal
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closely with departmental colleagues, project controllers and policy officers to optimize support for both pre- and post-award processes and to develop and streamline workflows; Develop and host writing