19 software-defined-networks Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive
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international networking, and experience of academic and societal interaction. The position is full time and funded up to 2 years 6 months. The salary is defined in accordance with the University salary system
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from buildings, mobile network data) Database management skills (e.g., PostgreSQL) Statistical expertise related to big data processing and high-performance computing (Python, R) GIS software proficiency
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from buildings, mobile network data) Database management skills (e.g., PostgreSQL) Statistical expertise related to big data processing and high-performance computing (Python, R) GIS software proficiency
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communication are regulated (1-3). The successful candidate will focus on the dynamics and molecular mechanisms of the Interplanar Amida Network (IPAN) – a membrane protrusion network – using a multidisciplinary
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postdoctoral researcher, you will lead a subproject which involves screening mutation events from large genomic datasets and analysis the effects of the identified mutations using existing software as
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research environment with excellent opportunities to build up your professional expertise and scientific network. The salary of the successful candidate will be based on level 5 of the demands level chart
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environment with excellent opportunities to build up your professional expertise and scientific network. The salary of the successful candidate will be based on level 5 of the demands level chart for teaching
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Cancer Medicine at the Faculty of Medicine, University of Helsinki. The project will focus on developing approaches for gene regulatory network modeling on deconvoluted bulk data, with applications to pan
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: Has a doctoral degree - the degree requirement must be met by the beginning of the employment Has a strong methodological background in agent-based modelling, systems dynamics, network analysis