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for Photon Science we are looking for a Postdoctoral Fellow in serial crystallography data analytics Your tasks The development of serial crystallography data analysis pipelines at SwissFEL and the SLS 2.0
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- Provisional Positions Department's Website: Summary of Job Duties: The Data Life Cycle and Curation Theme aims to achieve automated heterogeneous data curation. While we have already developed the Data Washing
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Requirements: PhD in Data Science, Computer Science, Biomedical Informatics or related field At least 3 years of relevant experience in data science or analytics role Strong analytical and problem-solving skills
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and genomic) data to address the most pressing health research challenges. The advanced analytics team specialise in the development and application of statistical methodology (including Bayesian
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research related to mental health and addiction services utilization and quality of care. Experience working with Medicaid, Medicare and/or commercial claims data, a deep understanding of analytical methods
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opportunity to collaborate with other researchers affiliated with the Institute of Data and Analytics (IDA), Alabama Mobility and Power (AMP) center and Alabama Transportation Institute (ATI). This position
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this. Lets change the world. Responsibilities: Develop novel and biopharmaceutical industry leading peptide, protein, antibody and multispecific antibody MS and MS/MS analytical techniques, automation sample
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of Singapore (NUS) invites applications for a Senior Bioinformatician to support and lead advanced research with clinical and translational impact, driving the generation of high-quality data and analyses
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analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
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-disciplinary areas of artificial intelligence machine learning big data and data analytics software and security mobility and autonomy The Presidential Postdoctoral Fellowship is proudly supported by generous