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Nanotechnology (SMN) at Blindern, Oslo. Job description The PhD Research Fellow is a part of HYDROGENi , a national Norwegian Centre for Environment-friendly Energy Research (FME) dedicated to the research and
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and Electrical and Computer Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy. Societal digital transformation
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-cell and bulk multiomic techniques to profile tumor samples, focusing on resistance mechanisms in breast cancer, glioblastomas, colon cancer, and lung cancer. Advancing precision oncology through machine
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in the context of energy storage and mobility. This may include research on the circular resource flows, reuse and recycle strategies, and competing end-of-life pathways for batteries and battery
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increasing importance due to the widespread use of AI and in particular machine learning (ML). As today’s mainstream AI/ML workloads often resort to large-scale and energy-hungry supercomputers, it is
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-atmosphere fluxes of carbon, water, and energy in arctic environments. Observations from eddy flux towers, drones carrying meteorological sensors and gas analyzers, soil sensors, and satellite imagery
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energy systems, and solar energy platforms. Optimize design configurations to maximize energy harnessing and wave attenuation. 5. Experimental Testing Plan and conduct physical model tests in wave flumes
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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ What you’ll do: Independently
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of an observing system for land-atmosphere fluxes of carbon, water, and energy in arctic environments. Observations from eddy flux towers, drones carrying meteorological sensors and gas analyzers, soil sensors, and
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-chosen cell viability experiments and genomic testing performed in the lab on cells taken from a cancer patient. An AI method would use published research and historical data to guide experimentation