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. Good teamwork and project management skills. Meritorious experience and skills: Experience in implementing sustainability and circularity in the built environment, particularly in relation
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, Sweden. The student will form a part of a new NEST initiative funded by the Wallenberg Initiative Materials Science for Sustainability (WISE) and the Wallenberg AI, Autonomous Systems and Software Program
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energy efficiency, in close collaboration with industry. The division is responsible for educating Naval Architects and Ocean Engineers within the international master's program Mobility Engineering at
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funded by the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). The NEST project, Time-Resolved Imaging and Multi
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areas: Knowledge of computer science and operations research Familiarity with renewable energy systems and their challenges Proficiency in programming languages such as Python or Julia Strong problem
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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CST Microwave Studio, HFSS or EM Pro for antenna modeling and design is required, as is experience with programming languages like MATLAB, Python, or similar for antenna array analysis and algorithm
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industrial PET recycling. Admission to the PhD programme in Health Sciences is a prerequisite for the position. The final plan for organised research training must be approved and agreed no later than three
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qualitative research methods. You have excellent coordination and organisation skills. You have excellent English language and academic writing skills. You are a team player. You preferably have a working
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physics. Further qualification such as an MRes is advantageous. If your first language is not English, you need an overall IELTS score of 6.5 (at least 5.5 in all sub-skills) or equivalent language