176 parallel-processing-bioinformatics research jobs at Nanyang Technological University
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outbreaks. Key Responsibilities: Process and handle human biospecimens (e.g., nasal brushes, tissue biopsies), including preparation of clinical sampling packs, coordination of sample collection with clinical
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years of relevant experiences in animal work, cell culture, molecular study and/or bioinformatic analysis Prior working experience in the areas of immunology or aging is preferred but not compulsory
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(purchasing equipment, materials and consumables) Key Competencies and Requirements: PhD in biomedical sciences, bioinformatics, molecular epidemiology or related fields Experience with programming languages
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to design a neural cell implantation therapy for spinal cord injury treatment. We will achieve this goal through enhanced biological understanding of the regeneration process of nerve tissue together
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. Programming & Software Development: Proficiency in Python, PyTorch, JAX, or other ML frameworks Computing: Some experience with large-scale datasets, parallel computing, and GPUs/TPUs. Algorithm Development
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RCULA certification preferred Prior research experience with bioinformatics is advantageous Entry level candidates are welcome to apply We regret to inform that only shortlisted candidates will be
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technologies (lipidomics, proteomics), cell biology, molecular biology and bioinformatics to clarify the mechanisms of key molecular interactions, and support the development of early diagnostic and intervention
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assays and bioinformatics analyses Strong problem-solving skills Ability to work independently within a collaborative research environment Team-work attitude Excellent organizational skills and attention
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: Laboratory safety, purchase and bookkeeping Field Survey of Wood Structure Decay DNA Isolation and Quality Control Metagenomic Sequencing Bioinformatics Analysis Cultivation and Isolation of pure strains In
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, including protein structural analysis Job Requirements: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related fields Prior research experience in machine learning or systems biology is