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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 hour ago
-funded consortium. Ph.D. (or equivalent) in Genetics, Computational Biology, Bioinformatics, Biostatistics, Computer Science, or a related field Demonstrated expertise in population genetics, statistical
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
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Duke University Department of Biostatistics and Bioinformatics is seeking a highly motivated and detail-oriented Post-Doctoral Associate to join our interdisciplinary team focused on developing
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Physiological Oxygen Levels for Enhanced Biomarker Discovery and Antioxidant Screening Beyond the Conventional Methods, with the number 16992 - Operation Code: COMPETE2030-FEDER-00828000, programme and tender
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microbial DNA/RNA 16S and ITS sequencing analyses. The PhD will be collaborating closely to the other PhD student hired within FutureForests, focusing on biogeochemical and ecophysiological processes. The PhD
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/GPUs. These devices provide massive spatial parallelism and are well-suited for dataflow programming paradigms. However, optimizing and porting code efficiently to these architectures remains a key
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markers, flow cytometry, and cell sorting. • Generation and analyses (bioinformatic and statistical) of environment and microbiome data, including amplicon sequencing libraries, metagenomes, and
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, RT-PCR). Data and Bioinformatics: Genomic and transcriptomic analysis. Comparative genomics of pathogens and hosts. Phylogenetic analysis and sequence databases. Statistical analysis of biological
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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
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diverse and dynamic team Provide general administrative and operational support such as HPC technical assistance Requirements A Ph.D. degree in Bioinformatics, Biostatistics, Biochemistry, or related