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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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biomass for food. We do frontier applied science, meaning that we link fundamental understanding to societal usage. In doing so, we aim to actively support managers with the insights needed for ecosystem
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Essentials PhD (completed or near completion) in Computer Science, Computer Vision, NLP, Machine Learning, Computer Graphics/Animation, HCI, or a related field. Strong background in deep generative
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, the following is required: PhD in high-speed aerodynamics, turbulence, transition and combustion modelling, or another relevant aerospace engineering discipline. Additional requirements In addition to your CV and
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-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility, Big Data Core and High Throughput Screening Facility. Our research is embedded
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for this position, the following is required: PhD in systems engineering, computer science or informatics, and the subject of the thesis should be relevant to the task description provided above (e.g. digital twin
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. Qualifications We are looking for a candidate with A PhD in Computer Science, Operations Research, Applied Mathematics, Mathematics, Engineering, or a related discipline. Strong programming experience, for example
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. Your qualities For this interdisciplinary project, we are looking for a highly motivated and skilled postdoctoral researcher with a recent university PhD degree (or equivalent) in engineering, biology
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by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in engineering (space engineering in particular) and/or a PA discipline