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qualifications You have graduated at Master’s level in Biology/Medical Biotechnology/Genetics or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses Biology/Genetics
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focuses on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based
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technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm
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of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms
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and career advancement across the globe. DDLS industrial PhD position We are announcing the position of Data-driven life science (DDLS) PhD student in data driven cell and molecular biology. This is an
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environment sector”. Flat glass is a well-used material in the construction industry but has traditionally been disposed as landfill. New initiatives to create a circular flow of flat glass has the potential
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navigation; Advanced III-V semiconductor nanowire technology that exploits light to obtain a large number of interconnects with extremely low power consumption; Optically efficient stable molecular dyes
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large language models (LLMs)—that is, the inability of a model to effectively process or understand visual information. This work involves integrating visual encoders with language models to create
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qualifications You have graduated at Master’s level in computer science or completed courses with a minimum of 240 credits, at least 60 of which must be advanced courses in computer science, mathematics, AI
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conversational guides for enhancing visitors’ learning and experiences in public educational environments. The PhD student will focus on addressing the challenge of visual blindness in large language models (LLMs