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: Develop and refine experimental tasks. Manage collaborations with external partners. Plan and execute analysis strategies. Work with large datasets and apply advanced analytical methods. Contribute to both
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have studied a MSc program in microbiology, biotechnology, plant biology, and food science. Additionally, we expect that you will be willing to have an external stay at Wageningen University & Research
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Seshadri. The Intelligent Transport Systems Section belongs to the Transportation Science division of the Department of Technology, Management and Economics (DTU Management) at DTU. The division conducts
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, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to
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the project. Qualified candidates should have: A PhD degree in Computer Science, Electrical Engineering or equivalent. Research interests and a scientific track record in Edge Computing research fields, such as
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, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic
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requirements: PhD degree in vision science, psychology, cognitive (neuro)science, or a related field Expertise in visual perception. Experience with auditory or multisensory perception is a plus. Good command of
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plus. Candidates with expertise in either modality are also encouraged to apply. Ideally, applicants for the position should satisfy the following requirements: PhD degree in hearing science, audiology
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capture simulation. You have strong programming skills and are familiar with thermodynamics and process simulation. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a
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of neuroimaging data and experience with computer programming, in particular Matlab. You have a strong interest in music. You have good interpersonal skills, are friendly, helpful, and able to contribute to a good