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. The workplace is Campus Kristiansand. Start date by agreement with the faculty. The Faculty of Fine Arts has approximately 530 students and 90 academic staff. It consists of the Department of Visual and
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methods for optimization and control, with the aim of balancing short-term efficiency against long-term sustainability. Expected result The project is expected to provide new knowledge on how geothermal
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engineering and improvement, and molecular identification is desirable. The candidate will also demonstrate effective communication and problem-solving skills, as well as high motivation and enthusiasm to work
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challenges and enhance the performance of recycled aluminium alloys. Responsibilities include developing methods to control solidification, refine microstructure, and mitigate impurity effects, ensuring high
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. Testing the effectiveness of different grinding energies on phosphate liberation within flotation tailings. Developing an AI-driven intelligent framework to optimize grinding time to enhance phosphate
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and develop versatile biopesticide formulations using some effective natural products and bioresources, including entomopathogenic microorganisms, essential oils, and plant extracts. Characterize
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to effectively and efficiently utilise industry-standard Linux-based computers for AI. Experience of authoring good quality academic publications. Manage undergraduate research assistants (if appropriate). Liaise
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traffic, social media interactions and event attendance rates, and participation in the project’s dissemination, communication and engagement activities. The work plan includes carrying out tasks
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to various locations for in situ work as required. Excellent teamwork and communication skills, with the ability to work both independently and as an effective member of a multidisciplinary team. Desirable
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Professor, Department of Biology | Centre of Molecular and Environmental Biology, School of Sciences, University of Minho; Effective members: Sandra Cristina Almeida Paiva, Associate Professor with