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in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written communication skills in English. A proven academic
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model-based systems engineering, with emphasis on developing innovative solutions for manufacturing systems. You will be expected to build and maintain a strong research program, including securing
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assistants to plan their days at the CoG together, so there will be app. two fixed days, where you will be at the CoG, but we are of course flexible in relation to exam periods etc. The employment is on
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and competences across multiple engineering programs. To do so, you will: Develop the research field by identifying knowledge gaps of scientific, academic, and industrial relevance Contribute to and
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deliver the tasks inquired by the Ministry of Agriculture and Food based on the agreement of public consultant tasks. You will also teach and supervise students in our educational programme. Your main tasks
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Development: Collaborate with our team to develop compelling and competitive grant applications to grant programs such as Horizon Europe, LIFE, CETPartnership or others depending on availability and relevance
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for phage display selections such as toxin purification from venoms. Requirements: Accepted for a MSc program at DTU. Previous working experience in a laboratory setting, e.g. in GMO class-1 labs is mandatory
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skills in programming and drone operations. Alongside strong coding competences, the employee is expected to have insight in creation of synthetic drone datasets using Unreal Engine, as well experience in
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be submitted electronically by clicking APPLY NOW below. Please include Curriculum vitae Diplomas (Master and PhD degree or equivalent) Research plan – description of current and future research plans
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all branches of pure mathematics and quantum computer science at QM. We also offer the opportunity to shape our educational programme to benefit from new developments in pedagogical approaches and