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Company details

  1. Career and Education Provider
  2. Educational Institution

Written by the company

Uresearcher is an advanced STEM education company providing skilling and upskilling in high-skilled and high-tech industries. We provide the highest quality training to address the rapidly growing shortage of skilled, STEM-intensive workforce who can keep up with the complex, rapidly changing and demanding innovations in high-skilled and high-tech industries. Our curriculums are trusted by learners from world-class universities and organizations such as Johnson and Johnson, Novartis, Tata Chemicals, and IQVIA. Our carefully planned and industry focussed, in-depth curriculums in Machine Learning for Drug Discovery, Artificial Intelligence for Drug Discovery, Python for Drug Discovery, Molecular Artificial Intelligence Specialization, etc. have been helping our learners in advancing their careers and research in the drug discovery industry. At Uresearcher, we strongly believe that companies in highly skilled, high-tech industries should have easy access to well-trained manpower.  We are supporting these industries with guided and practical curriculums that are adapted to prepare learners to innovate within the industry framework. 


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3.7

Average

TrustScore 3.5 out of 5

2 reviews

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Rated 5 out of 5 stars

My bird's-eye view on Machine Learning for Drug Discovery course.

Hello! my name is Asif Jahan. I come from a core Molecular Biology background with a wide range of theoretical, as well as practical skill-sets to exploit the genetic and biochemical potentials of microbial, mammalian, and plant cells for the wellbeing of humankind.

I have a bachelor's and a master's degree in Biotechnology from BRAC university, Dhaka, Bangladesh.

I also have had the experience to work in two of the most reputed, state-of-the-art research laboratories of the country, namely ICDDR,B (International Center for Diarrhoeal Disease Research, Bangladesh) and IDESHI (Institute for Developing Science and Health Initiatives).

I got myself involved with Uresearcher as they caught my attention with their well-decorated module, mingling both with Machine Learning and In-silico drug discovery. I personally found this program to be really timeworthy!

The contents are very diversed and well paved with real time demonstrations by the author himself with two Nature publications along with one featured by MDPI Cell.

The lectures drive you through the most intricate and technical facets of Chemical Machine Learning, which stand perfectly with the demand of pharmaco-chemical research skills dedicated to shallow AI...!

Most importantly, this course is designed with moderate theoretical approach, and a "nuclear grade" hands-on training that can make you ready to embark on advance subfields of AI. A highly recommended program for those looking for a transition to AI based biochemo-informatics.

I take ultimate honor being a part of the very first cohort of this program...

Kudos to Uresearcher!

25 July 2022
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Reply from Uresearcher

Thank you for your detailed review and for taking your time, Asif! Much Appreciated!

We're glad that you found the machine learning for drug discovery course worthy of your time! We're looking forward to reading your following works! We're also looking forward to welcoming you to the Artificial Intelligence for Drug Discovery course!

Sincerely
Uresearcher Team

Rated 4 out of 5 stars

Carefully crafted curriculum!

Overall the course pace and quality was good. I was expecting more but still happy with the course learning outcomes. Thank you Uresearcher team.

25 July 2022
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Reply from Uresearcher

Hello Malaya,

Thank you for the feedback! We're glad that you are happy with the course learning outcomes! We're looking forward to read your next work applying these machine learning for drug discovery methods.

And we're also quite excited to welcome you again to the Artificial Intelligence for Drug Discovery cohort next month!

Sincerely
Uresearcher Team

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