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collaborations across multiple research institutes. Key Responsibilities: Synthetic research in heterogeneous photocatalysis for energy/environmental applications Characterisation of novel materials Development
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record-keeping, and ability to manage multiple parallel experiments. -Demonstrated independence in research and problem-solving. -Track record of peer-reviewed publications. -Effective communication skills
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parallel screening platform to discover orthogonal protein binders. In addition to carrying out research, the successful candidate will be expected to apply for fellowship funding, contribute to the writing
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Posting Details Posting Detail Information Working Title Postdoctoral Fellow - Electrical and Computer Engineering - Open Pool Position Location Fort Collins, CO Work Location Position is fully in
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‑stratification frameworks. Stay updated on the latest advancements in bioinformatics, genomics, and AI/ML research, and present findings to internal teams and external collaborators, as well as at conferences
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD’s degree in Computer Engineering, Computer Science, Electronics
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diagnostics metagenomics either wet-lab or bioinformatical. Further particulars are included in the job description. The post is fixed term for three years (available from September 2026 until 31 August 209
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, develop, and optimize new methods and techniques to address critical project or functional area needs. Participants will improve existing or develop new laboratory methods and processes, read and adapt
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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experiments to investigate mechanisms relevant to gastric cancer and microbiome-related research Perform microbiome profiling and molecular analyses Perform bioinformatics and integrative multi-omics analyses