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nanoparticles, electrochemical sensing assay and microfluidic chips. This interdisciplinary project offers a unique opportunity to push the boundaries of bioanalytical assay, enabling breakthroughs in healthcare
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technologies. Qualifications A PhD in computer science, artificial intelligence and machine learning, or a related field. Expert knowledge of the fundamentals of artificial intelligence and machine learning and
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Professor is expected to be proficient in fluvial geomorphology, as well as in geoinformatics and remote sensing methods as part of hydrological research and societal applications. Research achievements
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. Application letter, names and contact information of 3 referees and complete curriculum vitae (including major research funding obtained, research leadership, list of supervised PhDs and postdocs, number
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major research funding obtained, research leadership, list of supervised PhDs and postdocs, number of peer-reviewed articles, H-index, total citations and the database used, e.g. Web of Science or Google
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Mathematics for Sensing, Imaging and Modelling (FAME), funded by the Research Council of Finland for the period 2024 – 2031, as well as the Finnish Centre of Excellence in Inverse Problems Research 2018-2025
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, Retail and Sales and Consumer Behavior. With these key marketing disciplines forming the backbone of our study programmes, the Department offers Bachelor's, Master's and PhD degrees
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staff position within a Research Infrastructure? No Offer Description The Finnish Doctoral Program Network in Artificial Intelligence is looking for 100 new PhD students to work in fundamental AI and
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region (under the changing climate). Experience in utilizing and developing advanced field and experimental research methods, large datasets as well as statistical, modelling, or remote sensing approaches
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- the research project examining sense of safety and religious spaces. Your main tasks as a trainee are: - Literature search - Mapping and preliminary analysis of media materials (e.g. websites