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autonomously when required The Institute of Electronic, Microelectronic and Nanotechnology (UMR CNRS 8520 – https://www.iemn.fr/en/ ) is in Villeneuve D'Ascq, close to the city of Lille (France). We offer
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process at https://employment.ku.dk/faculty/recruitment-process/. Interviews with selected candidates are expected to be held in late September 2026. Questions For specific information about the PhD
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Website https://seuelectronica.urv.cat/treballar-a-la-urv/pi26031english.htm Requirements Research FieldChemistryEducation LevelPhD or equivalent Skills/Qualifications PhD in Chemistry, Nanoscience
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Doctoral Programme, see Section 6-1 of the PhD regulations for more information. You must have a master's degree or equivalent in computer science, artificial intelligence, machine learning, computer vision
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control of output powers, polarization states, linewidths and frequencies, as well as an understanding of analogue and digital electronics for experimental control. Relevant methodology includes laser
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join the internationally recognised EnDROIDS programme (https://endroids.ico2s.org ) and become part of a highly interdisciplinary team of computer scientists, molecular biologists, DNA nanotechnologists
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around 2400€ net per month depending on background. Applicant Profile • PhD Degree in electronics, electrical engineering or computer sciences • Background in multiprocessor architecture, embedded systems
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-driven methods for power system stability assessment and control with stochastic resources Job Requirements: PhD degree in Electrical Engineering or related subjects. Expert knowledge in power system
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information about the School of Mathematical Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx Informal enquiries may be addressed to Reuben O’Dea email: Reuben.ODea
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experience Required Qualifications: PhD in Electrical Engineering or a closely related field. Preferred: Demonstrated expertise in AI/ML, including deep learning, computer vision, LLMs, VLMs, multimodal AI