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expertise with laboratory work in a molecular/genetic lab, including DNA- and/or RNA-sequencing technologies. Some expertise in bio-informatics and data-mining is a plus. You have analytical problem-solving
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(bio-)chemistry, physics, and engineering expertise to study molecules and cells, taking advantage of optical and single-molecule imaging, molecular probes, molecular biology, and 'large' data analysis
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(social sciences, political science, economics etc.) Desirable: - good knowledge of quantitative tools of empirical social science research. - experience in academic work; - knolwegde of university
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, the project PSYBER - Assessing Cybersecurity Preparedness will be executed closely with Prof. Marcus Völp (Robustness and Resilience in Computing), Prof. Pedro Cardoso-Leite (Faculty of Social Science
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: university and, if applicable, PhD degree (e.g. Master/Diploma) in mathematics, physics, materials science or related subjects basic knowledge of computer programming (e.g. Python, Matlab and C++) excellent
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technology. Working at the interface between soft robotic engineering and psychological science you will be expected to design and make devices, design and run behavioural experiments and surveys, analyse data
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July 9th 2025; interview of shortlisted candidate to occur July 17th- 18th. Informal enquiries can be directed to mcelherm@tcd.ie (Dr Matt McElheron; computational biology lead) and nbourke@tcd.ie (Prof
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, Information and Technology Address StreetArcisstraße 21Zipcode80333CityMünchen Contact details Web: https://www.ce.cit.tum.de/cps/research/ Legal notice: The information on this website is provided
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Ref.: 532299 Work type: Full-time Department: Hong Kong Institute for the Humanities and Social Sciences (45400) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited
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science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato