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PhD at TU/e within the ICT Lab in the Signal Processing Systems group. Where to apply Website https://www.academictransfer.com/en/jobs/357819/phd-in-network-architectures-an… Requirements Specific
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are as important as high accuracy. Supervise student projects at BSc, MSc, and PhD level. Work with experts at the Jülich Supercomputing Centre (JSC) to run your algorithms/tools on large distributed
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FLEX/FFPE), ATACseq, nCounter panels, spatial transcriptomics, ChIP-seq, cut-and-run and others Apply machine learning algorithms to clinical multi-omic datasets. Assist with collaborative and service
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, and benchmarking of novel algorithms on synthetic and real-world datasets Development and maintenance of open-source research software and reproducible workflows Collaboration with CRC partners across
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programme Reference Number AE2025-0605 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0605
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
N_IHA-Administration Part Time 88035BR Job Summary Uses skills as a bioinformatics programming professional with a broad understanding of computational algorithms and systems; identifies and
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development, networking, administrative and technical support functions, along with good employment conditions. More information about the department is available at: https://www.umu.se/en/department
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Assistant Professor – PhD Program in Physics Job ID: 31506 Compensation: $94,909-$109,025/year (salary range will increase to $98,231-$112,841 on 9/1/26 per the CUNY PSC
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(SaS) and Open Simulations (OpenSim) research units are looking for a PhD candidate to actively participate in the 6G-TENET project (Trustworthy Open 6G Telco Automation). We are looking for a highly
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particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human