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dysfunction. We combine genetic, molecular, and physiological approaches to identify and dissect the pathways that mediate these effects. The successful candidate will conduct original research using the model
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new international Master of Science (Technology) degree programme, particularly in the fields of remote sensing and geospatial computing, while also advancing research on digital waters. The position is
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which must directly concern at least one non-higher education sector organisation of the applicant’s choosing. The main task of TIES2 Fellows is to carry out an internationally excellent research project
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within its five constituent faculties (Economics, Education, Humanities, Law and Social Sciences). Selection of successful applicants will be on the basis of academic excellence. Job description The main
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, selectivity and phenotype mechanisms directly in primary human cells and employ machine learning methods for data analysis. This includes activity-based profiling, global- and phosphoproteomics and phenotype
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semiconductor fabrication and characterization infrastructure. More information on research infrastructure: https://projects.tuni.fi/futurechips/research-infrastructure/ Requirements Applicants must: have a
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publications in top IEEE ComSoc journals (IEEE TCOM, IEEE TWC, IEEE CL, IEEE WCL, IEEE TVT etc.) as the main contributing author Previous experience in at least one of the following areas is considered
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publications in top IEEE ComSoc journals (IEEE TCOM, IEEE TWC, IEEE CL, IEEE WCL, IEEE TVT etc.) as the main contributing author Strong background in at least one of the following areas: physical-layer wireless