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health sciences, social sciences, or economics Experience in qualitative research and/or health economic methods High-level analytical capability Ability to communicate complex information clearly Ability
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will need good communication skills, and will be able to work with and disseminate information to both academic and non-academic audiences. You will have a PhD in medical or bio-informatics, epidemiology
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synthesis, partitioning, and verification automation. Integrate open-source and commercial tools (e.g., SpinalHDL) to build proof-of-concept design flows Building data pipelines for learning and knowledge
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imaging High level analytical capability Broad understanding of next generation sequencing (NGS) technologies and demonstration of proven experience in analysis of bulk and single cell transcriptomic data
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to grant proposals, and present findings at international conferences. What you bring: PhD (or near completion) in Bioinformatics, Computational Biology, Data Science, Statistical Genomics, or related field
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in top-tier conferences and journals Job Requirements: PhD or equivalent in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field. Strong background in IC front-end
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conferences and journals Job Requirements: PhD or equivalent in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field. Strong background in IC front-end design
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Specification First class degree in a biological science subject High level analytical capability Ability to communicate complex information clearly Full working knowledge of informatic environments including R
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working with Prof. George Chen. Join a multi-disciplinary team at the TDHVL that includes academic staff, postdoctoral researchers, engineers, PhD and undergraduate students. For further details on our
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academia, participate in the University’s Individual Development Plan policy for postdoctoral scholars, have a PhD or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc.), and candidates should