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project in collaboration with AstraZeneca Chalmers University of Technology, funded through the Wallenberg National Program for Data-Driven Life Science (DDLS). Chalmers University of Technology conducts
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candidate should be proactive, independent, solution-oriented, and adaptable in solving technical problems. Strong collaborative skills, excellent communication, goodwill, and reliability are required, as the
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computational drug metabolism project in collaboration with AstraZeneca and Chalmers University of Technology, funded through the Wallenberg National Program for Data-Driven Life Science (DDLS). Chalmers
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for analytical and creative thinking initiative independence ability to collaborate written and oral proficiency in English. The candidate should hold a MSc in Chemical and/or Process Engineering, Nanotechnology
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in computer science, engineering, data sciences, applied mathematics, machine learning, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at
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qualities such as collaboration and communication skills as well as analytical capacity. Ability to take own initiatives as well as to work well independently and in interaction with other research groups is
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about the subject specific requirements can be found here. Very good English proficiency in speech and writing. Great emphasis will be placed on personal qualities such as good collaborative skills
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standalone open Biology courses, a natural science preparatory year, and the industrial engineering and management program with a focus on biological resources and sustainable use. You can read more about the
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university with a strong international position. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all
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large, multimodal human datasets. Emphasis is placed on the candidate’s personal qualities, including independence, strong organizational, communication and collaboration skills, social and professional