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Field
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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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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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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
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or engineering. Preference will be given to applications submitted by candidates within five years of receiving their PhD. Additional requirements In addition to your CV and your motivation letter, please prepare
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Postdoctoral Researcher in Innovation&Investment Policy for Hydrogen Clusters in the EU(0.8-1.0 fte)
required to enable a successful hydrogen transition—including policies, infrastructure, technology, safety, economic incentives, and public acceptance. The postdoc will be embedded in a collaborative
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base in science and technology studies. Furthermore, you will collaborate with colleagues from Communication Science (CS) and Psychology of Conflict, Risk and Safety (PCRS). KiTeS is dedicated