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an emphasis on technology, data science and the humanities. SG100K, spearheaded by Prof. John Chambers, is a landmark population cohort study of 100,000 Singaporeans of diverse ethnic background. The cohort has
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. This postdoctoral position provides computational research capacity within DCMB to execute a research program at the interface of genomics, network science, and behavioral data modeling relevant to gene expression
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modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as ANSYS package
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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
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. This position reports to Steven Fransblow, BSA Chief Data & Technology Office. Minimum Qualifications: Recent Brandeis undergraduate (all majors encouraged to apply, including but not limited to politics
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linked to financial, environmental and health outcomes. Candidates are strongly advised to visit www.esri.ie/bru . Role Description The job is to design, programme and conduct original experiments tailored
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the Lymphovascular Research group collaborating with computational, clinical and laboratory scientists. The post holder will support the group by analysing genomic data to identify and characterise genes underlying
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contact information for up to three references. Contact Information Mark Peterson Contact Email mpeterson@seas.harvard.edu Salary Range $67,600 – $91,826 Pay offered to the selected candidate is dependent
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implement rigorous study Conduct wet-lab experiments Perform in-depth, critical data analyses Effectively communicate through presentations and high-quality journal publications Assist in supervising research
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, proven expertise in trypanosome genetic manipulation and functional analysis, as evidenced by first name authorship, proven expertise in the generation and analysis of proteomic and RNAseq data, as