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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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sequencing. Assist in the implementation of analytical pipelines for large-scale omics datasets, including next-generation sequencing and array-based datasets, with a primary focus on methylation data analysis
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students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The candidate will work on analytical aspects of quantum information theory, e.g
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to staff position within a Research Infrastructure? No Offer Description As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research
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huske de valgene du gjør. Du kan velge bort cookies fra Google Analytics her . Det er mulig å velge bort enkelte annonsenettverk som deler opplysninger på tvers av forskjellige nettverk her . Sletting av
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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analytic skills, experience with spectroscopy, plant function, genetics, genomics, evolutionary biology or related field(s). Additional Qualifications A successful applicant will be able to provide evidence
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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the validation of the methodology's performance using real data. The ideal candidate blends data analytics and big data management, AI modelling and validation skills, and is comfortable engaging with
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Medicine (PhARM) Program by leading rigorous pharmacoepidemiologic and policy-relevant research. The fellow will contribute to manuscript development, grant writing, analytic infrastructure development, and