51 parallel-processing-bioinformatics research jobs at BIOMEDICAL SCIENCES RESEARCH CENTRE "ALEXANDER FLEMING"
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modern high performance computation facilities and parallel computing clusters (CPU and GPU). Excellent publication record and demonstrated conference presentation skills. Demonstrated ability to operate
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, imaging approaches and/or bioinformatics. Postdoctoral Fellow – Banerjee Lab – 00399 Our lab is interested in how the brain accomplishes the ongoing transformation from sensation to action during natural
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modern high performance computation facilities and parallel computing clusters (CPU and GPU). Excellent publication record and demonstrated conference presentation skills. Demonstrated ability to operate
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assays. In vivo work Establish and monitor patient-derived xenograft (PDX) mouse models. Evaluate safety and efficacy of TCR-T cell therapies in mouse experiments. Collect and process tissues
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therapies in mouse experiments. Collect and process tissues for downstream analyses. Data & documentation Analyze flow cytometry and functional assay data. Document experiments and prepare figures and
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) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 13 days ago
of your work Your qualifications Academic degree in life science including PhD in biology, bioinformatics or related fields Ability to work independently on research activities and actively contribute
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to create knowledge for a better world. You can find more information about working at NTNU and the application process here. About the Job One Researcher position, funded for six years, is available in
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drive projects forward -A curious, problem‑solving mindset and interest in new methods -Background in bioinformatics, computational biology, or a related field -Experience with bulk RNA-Seq, ATAC‑seq, and
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on large-scale consortium datasets and the EHR-linked Vanderbilt Biobank (BioVU). He/she will work in a team environment. He/she will apply existing genetics, statistics, and bioinformatics tools. A primary