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Field
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods
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Master’s Degree Programme in archaeology – a condition possibly also in the field of materials engineering or chemistry with a focus on archaeological artifacts completed, ongoing Ph.D. studies
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, Treatment and Valorisation (Spanish MECES level 3 or EQF level 7), or any other official Master’s degree with equivalent content. PhD in Experimental and Applied Biology or in Marine Science and Applied
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collaboration with food companies and industrial partners. Generate industry engagement by organizing technology showcases, developing pitch materials while leveraging industrial networks. Define and execute
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by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems. Position Summary The Data Science
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set a course for the future – a future that you can help to shape. The Department of Management in the Faculty of Business and Economics has the following full-time vacancy: Teaching & Research
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industrial partners working at the intersection of AI and digital education. Mandatory requirements Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational
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SPHERE You have a PhD degree in Artificial Intelligence, Computer Science, Applied Mathematics or in a related field You have at least 3 years of postdoctoral research experience or R&D experience in
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Innovation studies Apply for this job See advertisement About the position One PhD research fellowship (SKO 1017) in Innovation studies is available at the TIK Centre for Technology, Innovation and Culture
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development and philanthropic engagement. Required Qualifications Ph.D. in terrestrial ecology, biology, acoustics, wildlife science, or a closely related field. Minimum of six years of relevant post-PhD