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addressing key sustainability challenges such as climate, biodiversity, water use or land use These tasks require experience in life cycle assessment and/or absolute environmental sustainability assessment
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forward to receiving your application and potentially welcoming you to our center. Head of center, Professor, Bo Nørregaard Jørgensen If you experience technical problems, please contact hcm-support@sdu.dk
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background in CMOS/VLSI design, computer architectures (preferred RISC-V architecture), and deep learning principles. Experience with industry-standard EDA tools such as Cadence suite: Genus, Virtuoso, Spectre
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, the candidate has experience with: Robotic simulation tools Medical applications Sensors and actuators Scientific writing and presentation Furthermore, the successful candidate is expected to: Have excellent
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engines. Knowledge of advanced combustion concepts is a merit but not a prerequisite. Practical experience of engine operation in a lab is a merit. Knowledge of control theory is a merit and even better is
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for experimental research and data analysis. Excellent written and oral communication skills in English are prerequisites. Additionally, experience with programming and/or mathematical modelling is an advantage. Due
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architectures. Add some more digital skills Experience with EDA tools such as Cadence Virtuoso, Spectre, or Mentor Graphics. Strong analytical and problem-solving skills, with the ability to work independently
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of the project is required. Prior experience on the specific topics is not required, but a plus. These topics include: Parameterized algorithms Approximation algorithms Linear programming methods, including primal
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
of the piezoelectric materials by advanced design and fabrication methods. Fabrication of piezoelectric transducers onto optical fibers. Design the experiments to employ the integrated acoustic probe for preclinical
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PhD project in collaboration with supervisors Design and develop management and real-time operation tools for ePIPV Test controlling functionality in a state-of-the art real-time experimental facility