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Field
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related field Experience with Earth System or biogeochemical modelling Strong programming skills (e.g., Python, R, MATLAB) and experience with advanced machine learning modelling A strong interest in
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programming languages and tools commonly used in robotics, such as C , MATLAB, Python, and ROS. Excellent communication and collaboration skills, with the ability to work effectively in an interdisciplinary
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group, led by Prof. Dr. Kristel Michielsen. For more information about the research group have a look here: https://www.fz-juelich.de/en/ias/jsc/about-us/structure/research-groups/qip Your Profile: Master
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. The successful candidate will join the group of Prof. Youssef Iraqi. Context Wireless sensor networks (WSNs) and Internet-of-Things (IoT) are among the leading enabling technologies for smart systems
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responsibilities. The post-holder is employed to work on the SEASTARS project which will be led by Prof Dawei Wu. Whilst this means that the post-holder will not be carrying out independent research in his/her own
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work closely with CFN Electron Microscopy group members and computer scientists at Brookhaven. You will be professionally mentored by Dr. Judith Yang and Dr. Sooyeon Hwang and receive guidance from Prof
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and Ph.D. students. Research environment You will join the ‘Multiphysics Simulation and Optimisation’ (MSO) research group lead by Assc. Prof. Joe Alexandersen at SDU Mechanical Engineering (SDU-ME) in
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. The postdoc will enter a strong research group led by Prof Giulia Vico (http://www.slu.se/en/ew-cv/giulia-vico/ ), in close collaboration with Assoc. Prof Erik Öckinger (https://www.slu.se/en/ew-cv/erik
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techniques and familiarity with cleanroom environments. Proficiency in data analysis and scientific programming languages (e.g., Python, MATLAB, or similar). Proven track record of research excellence, as
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setups, large-scale data acquisition and analysis, FPGA programming skills, and knowledge of Python and C++ are important assets. The project is highly interdisciplinary (microtechnology/electronics