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collaborations linked to the TRACE project The exact balance between analysis, fieldwork, and supervision can be adapted to the postdoctoral researcher’s expertise and interests. Requirements Applicants should
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and in the analysis of real-world datasets Experience in interdisciplinarity and good collaboration skills Ability to develop and pursue independent research questions Fluent English skills APPLICATION
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at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks
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of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed
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water dynamics, and chemical analyses, for example total micro- and macro-elements. The doctoral degree must be granted before the beginning of employment. Fluency in English and excellent writing skills
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with optogenetic and chemogenetic tools, local genetic manipulation, histological analysis and behavioural tests. We provide an international, inspiring and supportive research environment with excellent
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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/philosophy, legal history), to undertake a dissertation project within MePhiS. A key element of the proposed dissertation is a historical investigation of a specific topic within the theme of the research
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studies), to undertake a dissertation project within MePhiS. A key element of the proposed dissertation could be, for example, a historical and/or systematic investigation of a specific topic within the
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chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance. The starting salary