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decision-making in chemical engineering research and teaching. To support this effort, we invite applications for 1-2 PhD students (3 years). You will become part of a small, cross-disciplinary team working
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. Most importantly, you should be highly motivated, able to work independently, and should be very confident in both written and spoken English. You should strive towards scientific excellence, be
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. Active participation in REUNATECH training activities and contribution to collaborative work across the network. Support of relevant teaching activities of DTU’s Civil and Mechanical Engineering Department
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activities, i.e., teaching and supervision of BSc and MSc student projects at DTU. We are looking for candidates with Strong skills in AI, Machine Learning, and/or Data Science, preferably with experience in
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into this environment are invited to apply. Experience in quantum nanophotonics, quantum photonic devices, nanoscience, nanotechnology, and quantum dots is welcomed. Learn more about the project here: nikaakopian.org
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., Python, R, MATLAB) Experience in built environment monitoring Fluent English skills, both written and spoken. Ability to publish the research results in high-reputation international journals Personal
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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 candidates will be made by Prof. Niels
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degree with an academic level equivalent to a two-year master's degree. Furthermore, strong English communication skills are essential. Applicants should be highly motivated, ambitious, and eager to seek
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tasks will be to: Genetic engineering of bacteria. Phenotypic characterisation of engineered strains. Teach and supervise BSc and MSc student projects. You must have a two-year master's degree (120 ECTS
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gas chromatography. It is also probable that you will use CAD (e.g. for 3D printing), programming (e.g. Python) and MEMS chip design and fabrication. You should therefore have a desire to learn new