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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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machine learning. We focus on inductive logic programming (ILP), which learns logical rules from data. We primarily use automated reasoning techniques, such as SAT/ASP/SMT/MaxSAT solvers, to learn rules
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and machine learning. We focus on inductive logic programming (ILP), a form of inductive program synthesis which learns logical rules from data. The focus of this position is to develop ILP/program
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be exempted from the Swedish requirement. The employer will support the appointee’s language learning. Read more about the language requirements: https://www.helsinki.fi/en/faculty-educational-sciences
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good proficiency in English. The employer will support the appointee’s language learning. Read more about the language requirements: https://www.helsinki.fi/en/faculty-educational-sciences/faculty/work
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, the ability to produce learning materials, other teaching merits and, if necessary, a teaching demonstration. Pursuant to the Government Decree on Universities (770/2009), appointees to teaching and research
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teach and supervise theses at Master’s level (https://www.helsinki.fi/en/degree-programmes/nutrition-science-masters-programme and take part in the supervision of doctoral and post-doctoral researchers
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intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and
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about micronutrient content, intake, digestibility and bioavailability from plant-based diets. Part of the PhD study is planned as external stay at Valio (Helsinki, Finland) for one month to learning
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micronutrient content, intake, digestibility and bioavailability from plant-based diets. Part of the PhD study is planned as external stay at Valio (Helsinki, Finland) for one month to learning legume