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methods and modelling approaches applied to the full range of Remote Sensing imagery for land monitoring, from UAV and airborne platforms to imaging spectroscopy, optical to SAR satellite data at a global
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-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods
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identify those with the highest potential for early adoption in space engineering; translate theoretical advances into algorithmic innovations, design principles and prototype tools that can be integrated
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; The Biomass processing chain and quality tools; Image processing tools such as QGIS or SNAP. You should also have good interpersonal and communication skills and should be able to work in a multi-cultural
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ranging from (bio)chemistry and physics to bioinformatics and cell biology. Our drive is to push boundaries in our aim to visualise molecular processes in their native context and at the highest possible
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, transitions of control, driver awareness, and the communication of system capabilities and limitations. The project brings together expertise from human-computer interaction, AI, human factors, cognitive
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how a tumour responds to therapy across biological scales, are both betting that structure beats brute scale. In this postdoc you will lead research on physics-informed (and physics-grounded) world
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tasking in real time. The fellowship will investigate how mission planning can evolve from static scheduling to an adaptive, intelligence-driven process executed directly on board satellites. This includes
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fte Introduction The Erasmus School of Philosophy is looking for a postdoc candidate to conduct research in any area of philosophy of science and/or moral philosophy relevant to climate change research
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with other scientific fields including, among others, atmosphere/ocean sciences, computational life sciences, mathematical biology, mathematical economics, medical and seismic imaging, theoretical