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persons, including five professors and two postdoctoral researchers. The subject focuses on the development of sustainable materials and production technologies for the construction industry as
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are looking for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in
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for candidates who have: Strong programming skills, particularly in Python Solid analytical and mathematical abilities Experience with machine learning Strong communication skills and proficiency in English The
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of research methods in applied or agricultural and food economics, as well as strong quantitative and statistical skills. Proficiency in English and excellent communication abilities are required. Motivation
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mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment, with documented experience. Experience in applying or developing machine learning
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corresponding knowledge in another way. A successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms
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, sequencing and analysing plant microbiomes, including bioinformatics and statistics as well as in working with oomycete plant pathogens are merits. Candidates should be fluent in written and spoken English. As
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relating this knowledge to plant health and sustainable plant protection is required. Previous experience in sampling, sequencing and analysing plant microbiomes, including bioinformatics and statistics as
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applicant must have passed courses within the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at
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now teach courses in several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se