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intelligence? Do you want to be at the forefront of the evolving field of physician-computer collaboration in the diagnostic process? If so, we invite you to join our team as a post doc to unravel the best
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promising solutions. This project aims to enhance SDB accuracy through deep learning pan-sharpening and physics-informed machine learning techniques. These methods will be tested in two regions worldwide and
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Challenge: Generating realistic bathymetric maps at a large scale using satellite images and advanced machine learning methods. Change: Incorporating physics into satellite-derived bathymetry
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are looking for an ethusiastic and talented postdoc researcher for the Work-It-Out project. This project (NWO VIDI grant ) aims to strengthen depression treatment through physical exercise. Will you join this
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communication service availability. Due to the current limitations in understanding and estimating channel performance, we will pioneer novel physics-informed machine learning algorithms to formulate an optical
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performance, we will pioneer novel physics-informed machine learning algorithms to formulate an optical link performance map. This groundbreaking project comprises two PhD positions and one postdoc position
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insights promise substantial improvement opportunities. You will find effective methods to process noisy, not always fully reliable sensor data, that may not always be available, including RF sensing, in
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promise substantial improvement opportunities. You will find effective methods to process noisy, not always fully reliable sensor data, that may not always be available, including RF sensing, in order to
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they organise events to expand your (social) network. This postdoc position has a fixed-term contract of 12 months. Selection process A pre-employment screening can be part of the selection procedure
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). Chemistry and physics can provide us with technological solutions (e.g., storing CO2 in aquifers or its electrochemical conversion into value-added products), but technology alone is not enough. History