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qualifications: As a formal qualification, you must have a master’s degree or PhD degree (or equivalent) in engineering or equivalent within the area of bioinformatics, computational biology, or a related field
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of Civil and Mechanical Engineering, Section of Manufacturing Engineering invites applicants for a postdoc position in the area of a digital twin for robotic 3D printing of continuous fibre composites (CFCs
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to contribute to a positive, creative and productive research culture in the iGRIDS group and the wider department. You must hold a PhD in Energy Engineering, Electrical Engineering, Mechanical Engineering with a
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should hold a PhD in Electrical or Electronic Engineering (completed within the last 5 years) with strong experience in CMOS IC design. The ideal candidate has: Strong background in analog and/or mixed
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Collaboration with computational protein design partners and clinical reproductive biology collaborators Supervision of MSc and BSc students and contribution to publications You must have: A PhD degree in
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
workshops. Qualifications Applicants must hold a PhD degree (or equivalent) in a relevant field. Suitable disciplinary backgrounds include but are not limited to: Computer Science, Data Science, Artificial
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experience in electromicrobiology/MFC who are motivated to engage with complex anaerobic syntrophic systems are particularly encouraged to apply. Qualifications PhD in microbiology, bioelectrochemistry
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
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Measurements and Data Processing as per June 1st, 2026, or as soon as possible thereafter. The position is available for a period of 1 year, with the possibility of extension. In electronic engineering, Aalborg
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work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural