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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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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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of Bergen approved PhD programme leading to the degree within a time limit of 3 years. You must have admission to the organized research training (PhD program) at the Faculty in order to qualify
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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supervision collaboration in national or international research projects (optional) Requirements: university degree in Computer Science, Computational Linguistics, Mathematics or a related field solid knowledge
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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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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Reference: REQUIMTE 2025-50 Main research field: Chemistry, Chemical Engineering, Physics, Physics
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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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· PhD in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a closely related discipline. · Strong academic background in computational mechanics, fluid dynamics, electromagnetics
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms