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a dedicated doctoral training unit (DTU) on “Forest function under stress” (FORFUS). It consists of 4 inter-linked research clusters, focusing on below-ground processes, tree and canopy processes
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and implantable sensors o Microfluidic-based electrochemical platforms o Data-driven sensor signal processing Fluent English proficiency (B2/C1 level or higher). Strong analytical, problem-solving
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participate in the training and dissemination events of the MSCA Doctoral Network ANT . You will develop signal processing algorithms and protocols for AirComp, and implement and validate them in simulation
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs
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symmetric cryptography algorithms. Winners of the standardization processes sponsored by the U.S. National Institute of Standards and Technology (NIST), they are currently adopted by the U.S. and the European
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seis-mometers, geophones, etc.), as well as in signal processing, High level of communication and teamwork skills, willingness to travel to the Middle East as part of a team, Structured and independent
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the project “Modeling Great Ape Signaling Behavior” under the auspices of the Collaborative Research Center “Common Ground” (CRC1718), which is funded by the German Research Foundation (DFG), at the University
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% of full time E13. The position is associated with the project “Modeling Great Ape Signaling Behavior” under the auspices of the Collaborative Research Center “Common Ground” (CRC1718), which is funded by
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) Institution: Department of Chemical Biology and Bioimaging, Faculty of Chemistry, Wrocław University of Science and Technology Project supervisor: Paulina Kasperkiewicz-Wasilewska, PhD, prof. of WUST Project
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Description The Unsteady Flow Diagnostics Laboratory (UNFoLD) led by Prof. Karen Mulleners at EPFL in Lausanne is looking for multiple PhD students to join the group in the fall of 2025 or early 2026