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systems, including methods for colloid characterization Spatially resolved surface analysis using interference microscopy and autoradiography Derivation and parameterization of mechanisms Interdisciplinary
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
on this foundation, this project will advance distributed and lightweight LLM architectures to enable resource-efficient spectrum allocation across highly dynamic and interference-prone 6G aerial environments. As LLM
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used and industrially mature method. The aim of the PhD study is to develop a CHON compliant separation process. The degradation products will interfere less with the separation process and during
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constraints such as electromagnetic interference (EMI), thermal stability, and mechanical durability. In parallel, the project will refine and optimize existing machine learning models for fault detection and
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microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism. Available resources at the department include a mouse facility, high-end FACS
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occurring viral products with internal deletions that have emerged as promising antiviral candidates due to their ability to interfere with viral replication and modulate immune responses. Although DVGs have
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sensitivity, interference contrast, and phase stability. • Assess performance in low-flux, photon-noise-dominated conditions analogous to Mars. • Conduct tolerance analyses, especially regarding optical
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Programme? Horizon Europe - MSCA Reference Number https://doi.org/10.3030/101226058 Marie Curie Grant Agreement Number 101226058 Is the Job related to staff position within a Research Infrastructure? No Offer
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient