Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
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
-
The Novo Nordisk Foundation has established a world-leading interdisciplinary research center to develop knowledge and technology for capturing and recycling carbon dioxide. The center is based
-
Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your
-
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
-
work. Qualifications PhD in computer science, computational biology, engineering, or related fields. Experience developing deep-learning tools for image processing, automatic monitoring of agricultural
-
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
-
Job Description The Institute of Mechanical and Electrical Engineering, University of Southern Denmark (SDU), invites applications for a 2-year Postdoctoral position in CMOS circuit design for
-
technology to real-world conservation challenges, working directly with data that informs habitat management and biodiversity protection. Expected start date and duration of employment This is a three year
-
funded project under the Novo Nordisk Foundation Exploratory Interdisciplinary Synergy programme. The project focuses on the design and experimental validation of de novo proteins that target sperm and
-
biosynthetic pathways for microbially-derived molecules and understanding how microbial molecule production can be modulated for disease prevention and therapeutic benefit. Using a combination of computational