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required to have a PhD degree or a foreign degree that is deemed equivalent in Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experiences in
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. PhD in a relevant field (e.g., logistics, supply chain management, operations management, engineering, or related disciplines). Experience with case study methodology and the ability to translate
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education in Sweden. At KI, you get to meet researchers working with a wide range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific
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. Machine learning: experience with algorithms such as nearest-neighbor, simplex projection, recurrent neural networks, singular value decomposition and/or autoencoders; experience in frameworks like
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sequencing methods. Specific experience with food science, environmental science, forensics or research commercialization are desirable but not necessary. The candidate must be highly motivated, creatively
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knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which have pushed KI to where it is today, at the forefront of global research
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, different types of statutory leave of absence. During evaluation, special emphasis is placed on: Knowledge and experience relevant to metallic materials Communication and collaboration skills Quality and
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, Proficiency in spoken and written English Experience in standard molecular biology techniques, such as molecular cloning, competence in at least one of the key approaches to be used in this interdisciplinary