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research sections. We broadly cover digital technologies within mathematics, data science, computer science, and computer engineering, including artificial intelligence (AI), machine learning, internet
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computer programming language is expected. You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and
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chromatograph, FIA and electronic particle counters i.e., Coulter counters also available. As a PhD fellow, you will be associated with the research groups and get access to instrumentation of your main and co
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hold an MSc in electronics, computer engineering, or a closely related field. Required Qualification: Applicants must hold an MSc in electronics, computer engineering, or a closely related field. Strong
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*************************************************************************** Application and Assessment Procedure Your application including all attachments must be in English and submitted electronically by clicking APPLY NOW below. Please include: Motivated letter of application (max
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, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, acoustics, power electronics, robotics, and autonomous systems. Technology for
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Quantum Internet. We focus on quantum control and manipulation of novel nanostructures at the single-photon and single-electron level, using nanowires, quantum dots, and hybrid semiconductor-atomic systems
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, including electrical engineering, control theory, industrial engineering, electronics engineering, energy policy, data science, and applied mathematics. As part of the Alliance program, your project will be
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may be obtained from Senior Researcher Patrick Njage, National Food Institute, DTU, email: panj@food.dtu.dk You can read more about DTU National Food Institute at https://www.food.dtu.dk/english/ If you
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Applicants should hold a relevant MSc degree in electronics, electrical engineering, computer engineering, or related fields. Required Qualification: Solid background in digital CMOS design and deep learning