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on previous employment with start and end dates Copy of PhD certificate. If awaiting PhD, provide a written statement from the supervisor List of publications A description of your research interests in
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following thematic areas: • AREA 1: Machine learning and AI-driven methods for design, simulation, and optimisation in architectural and construction engineering. • AREA 2: Robotic and additive
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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of open data and open science. Your profile The ideal candidate should have: A PhD in environmental engineering, ecology, environmental science, biology, data science, computer science, or a closely related
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application must include: Motivated application. Curriculum Vitae. Master’s and PhD degree certificates or equivalent (copy of original/official English translation). Complete list of publications. Publications
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Section of the Mechanical and Production Engineering Department. The group currently consists of 3 PhD students. Our focus is to develop new algorithms that allow to discover interpretable and accurate
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work environment that encourages innovation and creativity. Opportunities for professional growth and leadership. Access to state-of-the-art technology and resources. Job description SDU Robotics
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be developed and implemented in the GEOS-Chem chemical transport model, coupled to the Community Earth System Model. Standardized large wildfire events will be simulated based on historical data and
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to scalable quantum technologies. Qualifications The successful candidate will have some of the following qualifications: Education: PhD in Physics, Photonics, Electrical Engineering, Computer Science, or a
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cytometry Extensive experience in cell culture and molecular biology techniques Profound expertise in cell biology and epigenetics Experience in CRISPR/Cas9 genetic engineering, ideally in a high-throughput