200 application-programming-android-"Prof" positions at Technical University of Denmark
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. If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted
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in working with environmental sampling at Danish utilities. Applicants can have a background in chemistry, environmental sciences and engineering, or related fields, who have practical experience from
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position is full-time (37 hours per week) and is to be filled as soon as possible. The workplace will be at DeiC’s offices on the DTU Campus in Lyngby or the AU Campus in Aarhus. Application and contact
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. Understanding of embedded programming, computer architecture and digital electronic systems. Experience with low-level bare-metal coding, particularly in C/C++. Understanding of digital electronic systems
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hardware description language such as Chisel, VDHL, or Verilog. Knowing Chisel is a bonus. Knowledge of real-time systems System programming in C You must have a two-year master's degree (120 ECTS points
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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made in a
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similar. Bring hands-on experience in two or more areas: programming, robotics, AI, embedded systems, or physical computing. Are curious and passionate about emerging technologies — from VR to quantum
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Job Description We invite applications for two postdoctoral positions in luminescence physics at the Department of Physics, Technical University of Denmark (DTU Physics). The positions will push
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the area of natural science The ability to work independently and plan complex tasks A collaborative mindset and willingness to engage in a large, international, and cross-disciplinary team Fluency in
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overall aim will be to strengthen the department’s competences within the application of advanced methods for activity-based simulation models and machine learning methods in transportation. You will work