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by DTU, in collaboration with KTH Royal Institute of Technology, Sweden. The project, From Detection to Action: AI-supported Decision Systems for Disaster Preparedness , bridges early risk detection
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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We
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potential to excel in a collaborative and multidisciplinary environment, and use their skill for the benefit of society in the long term. You will follow the rules and curriculum set out by the Doctoral
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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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by two mentors within the SPACER project, and will have multiple opportunities to participate in professional and personal development training. Through her/his work she/he will gain a unique skill-set
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candidates with a strong potential to excel in a collaborative and multidisciplinary environment, and use their skill for the benefit of society in the long term. You will follow the rules and curriculum set
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doctoral training unit: https://www.list.lu/en/research/project/forfus Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? Earth Observation (EO) science is
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at Science Park we offer you multiple fringe benefits: 232 holiday hours per year (based on fulltime) and extra holidays between Christmas and 1 January; multiple courses to follow from our Teaching and
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seek candidates with a strong potential to excel in a collaborative and multidisciplinary environment, and use their skill for the benefit of society in the long term. You will follow the rules and
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Criteria You must have, or expect to gain, a minimum 2:1 Honours degree, or international equivalent, in chemistry, or chemical engineering, or in a closely related field. If you do not meet these entry