232 developer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Netherlands
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expertise in artificial intelligence, computer vision, human-computer interaction, and psychology. Its technical core lies in developing robust and adaptive visual speech recognition models. Close
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contribute to the development of state-specific clinical guidelines. You will also write scientific articles and contribute to dissemination activities. Throughout the project, you will work in close
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Job description Recent trends in Controlled Environment Agriculture (CEA) development, design, and operations related to energy saving and greenhouse gas emission reduction, are mainly focused
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, complemented by sensory evaluation studies. Your research will contribute to the development of plant-based meat products with improved flavor and consumer appeal. Your duties and responsibilities include
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Can spectroscopy reveal how a breathable material knows when to seal? In this PhD project, you will develop responsive MOF-peptide coatings for adaptive protection and follow their chemistry in real
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Are you fascinated by scientific and technological innovations in mechano-driven cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic
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retrieve shapes, overlay errors, and other geometrical parameters of the target using methods ranging from local and global optimizers to priors and neural networks developed by partners in the project. Job
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improved using machine learning techniques. The developed techniques will be applied to metrology of semiconductor samples. Job requirements You are an enthusiastic candidates with a ‘drive’ for applied
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Welcome to Maastricht University! Join us in SHAPING THE FUTURE of reproductive & genomic medicine by developing cutting-edge genomic and AI technologies. Make your mark by contributing to life
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join the NWO-KIC project RISE – Resilient Integrated Systems for Ecosystem restoration as a PhD candidate. You will co-develop an interactive spatial decision-support framework for agrifood transitions