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Field
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, interaction of nanoparticles with various mammalian cells will be studied to determine the ability to deliver bioactive agents into cells. Lipid nanoparticles are critical delivery systems for a wide range of
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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that release huge amounts of CO2. SusMet focuses on the exploration of carbon-free sustainable metallurgy, employing hydrogen as reducing agent, direct electroreduction (electrolysis), and plasma synthesis
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dashboard with geospatial GIS data and supervise junior staff in this area. To be considered for the role you will hold a Ph.D/D.Phil in Population Health, Demography, Spatial Epidemiology, Geography
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. or Ph.D. programs around the country, or pursue biomedical startup or industry careers. Responsibilities Research 80% - Run multiple projects in parallel, in collaboration with PhD students and postdocs
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hydrological conditions is an advantage Experience with machine learning models and hydrologic/hydraulic modeling Strong familiarity with tools such as SWMM and GIS Proficiency in programming and data analysis
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Information Systems (GIS), programming in Python, practical forestry, nature conservation, cultural heritage management, as well as a driver’s license, are considered assets. Place of work: Umeå Forms
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and/or Geographical Information Systems (GIS), and be keen to learn new methods. The University of Birmingham is providing full funding for this project for a UK student. International students should
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7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas
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/PI on grants and contracts, mentoring research staff including graduate students and postdoc researchers, synthesizing results into peer-reviewed manuscripts, presenting results at conferences