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IIT Kharagpur Invites Applications for Free Online Workshop on Data Science

IIT Kharagpur has invited applications from interested students for a free online workshop called Application of Data Science in Biological Systems

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DQINDIA Online
New Update
IIT Madras

IIT Kharagpur is hosting a one-day free online workshop called Application of Data Science in Biological Systems for interested participants. IIT Kharagpur and Lawrence Berkeley National Laboratory have joined hands for the workshop being offered under the Scheme for Promotion of Academic and Research Collaboration (SPARC) program of the Ministry of Human Resources and Development, Government of India. The organisations aim at covering research challenges and breakthrough technologies behind the current trends in the field of biomedical and bioenergy research.

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The workshop can be taken up by academicians, research scholars, undergraduate and post-graduate students, faculty members, professionals and industry personnel working in the concerned oe allied discipline. A maximum of 50 participants will be allowed to attend the workshop, and the list of selected participants will be notified on their personal e-mail addresses. The objective of the workshop is to cover the recent research efforts across the globe by involving lectures delivered by academicians and researchers from IIT Kharagpur, Lawrence Berkeley National Laboratory, and the University of Michigan.

What the IIT Kharagpur Workshop on Data Science Will Cover

This one-day workshop aims at providing participants with a bird’s eye view on the recent development of data science tools and their applications in metabolic engineering and biomedical approaches. Participants will also receive insights into cutting-edge data-driven tools, their applications, associated challenges and its promising future scopes in the field of biological system design and creating robust cell factories. Some of the topics that will be covered are as follows:

  • Machine learning for metabolic engineering.
  • Deep learning for clinical and health applications.
  • Drug discovery and repurposing using transparent artificial intelligence.
  • Machine learning for Protein Engineering.
  • Analysis of multi-omics data with genomescale models.

Those who wish to apply will have to submit online applications before 7 September 2021. The workshop will be held on 8 September 2021, and interested applicants are advised to go through the course brochure for further information.

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