Small Interfering RNA
siRNA Design Online Training
Duration: 45 Days | Mode: Online (Live + LMS)
Learn Skills, Deepen Knowledge & Earn Certifications in Biological Sciences.
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Small Interfering RNA
Duration: 45 Days | Mode: Online (Live + LMS)
Next-Generation Sequencing
Duration: 1 Month | Mode: Online (Live + LMS)
RNA-Seq Data Analysis
Duration: 45 Days | Mode: Online (Live + LMS)
Development of C4 Plants Using rDNA Technology
Duration: 3 weeks | Mode: Online (Live + LMS)
Systems Biology of Disease
Duration: 6 weeks | Mode: Online (Live + LMS)
Hub-Gene Discovery Using STRING and Cytoscape
Duration: 2-6 weeks | Mode: Online (Live + LMS)
Molecular Dynamics of Protein–Ligand Interactions
Duration: 2-6 weeks | Mode: Online (Live + LMS)
Connect with industry leaders and academic experts who are passionate about teaching
Hear from our students who transformed their careers with NanoSchool
very interesting.
Take less time of contends not necessary for the workshop
The mentor talked about the basics of microbial consortium and then explained their applications for bioprocess in detail. The Mentor explained the various topics with a clear and detailed approach.
Good workshop
Good
Shashikala is a Bioinformatics researcher and academic professional with experience as a Teaching Assistant at Jaypee University of Information Technology, Lecturer at Kanya Maha Vidyalaya, Jalandhar, and Assistant Professor at Hans Raj Mahila Maha Vidyalaya, Jalandhar. Her expertise includes Bioinformatics, Systems Biology, Computational Biology, Molecular Docking, Network Biology, Sequence Analysis, Biological Databases, Drug Designing, and Rare Disease Research.
Her research focuses on neuromuscular diseases, especially Duchenne Muscular Dystrophy, using systems biology, gene regulatory networks, and computational biology approaches. She also holds an NPTEL certification in Bio-Informatics: Algorithms and Applications from IIT Madras. As a mentor, she brings strong teaching and research experience for workshops in bioinformatics, genomics, molecular docking, systems biology, and AI-enabled biomedical research.
Dr. Noopur Singh is a freelance researcher in the field of Bioinformatics. She received her Ph.D. Degree in Bioinformatics from Faculty of Engineering and Technology, Dr. A.P.J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh in 2023. Before that, she worked as a JRF at the DBT-funded bioinformatics facility at Sri Venkateswara College, University of Delhi. Subsequently, she held the position of Assistant Professor in the Department of Biotechnology at Dr. Ambedkar Institute of Technology for Handicapped, Kanpur. Dr. Noopur has over 10 years of experience in the field of Bioinformatics. Her area of expertise includes Computer Aided Drug Design, Molecular Modeling, Gene Editing, NGS Data Analysis, Sequence Analysis, and Gene Prediction. She has authored 7 research publications.
Dr. GAURAV MUDGAL is an Associate Professor in the University Institute of Biotechnology within Chandigarh University, Mohali, Punjab. Previous to this he headed science clusters at Auronya College, Pondicherry and Mangalayatan University, Aligarh. He is a La Caixa fellow, and received his Ph.D. Degree in Molecular Biosciences with the highest distinction from the Autonomous University of Madrid, Spain in 2014 with his work on molecular biology of coronavirus-host interactions realized at the CSIC center of excellence -National Center of Biotechnology. He had previously worked as a nationally recruited scientific officer at the CGIAR headquarters of ICRISAT in Hyderabad and had handled many projects related to transgenic crop developments. He is having 16 years of research experience in biotechnology. His area of Expertise includes: Molecular biology of virus-host interactions, plant-microbe interaction, plant and animal biodiversity, underutilized crop translations and bioremediation. He is the author of many publications with the journals like PLOS, MDPI, Nature, Springer, Elsevier and Taylor & Francis and a recipient of a core research grant of 4.3 million INR for his work on DNA barcoding and morphometrics on Indian tardigrades.
Dr. Rini Chaturvedi is a DST Inspire Faculty in the Department of Microbiology at the All India Institute of Medical Sciences, New Delhi. She received her Ph.D. Degree in Structural parasitology from ICGEB, New Delhi University in 2021 and earned her postdoctoral from university of ICGEB, New Delhi. She is having 13 Years of Experience in the field of Molecular medicine. Her Area of Expertise includes: Structural Parasitology, Drug Discovery, Public Health, Immunology, epigenetics. She is the author of 21 research articles, DST INSPIRE Faculty grant recipient, Young Scientist award, etc.
I am Sneha Priya, a Biology tutor with an M.Sc. in Biotechnology and experience in teaching NEET Foundation Biology, JEE Foundation Science, and school-level science. I focus on concept clarity, NCERT-based learning, doubt-solving, and exam-oriented preparation using digital tools like Zoom, PowerPoint, and digital whiteboards. I can teach in English and Tamil.
Dr. Vipin Singh is a former Associate Professor in the University Institute of Biotechnology, Chandigarh University, Mohali, India. He received his Ph.D. Degree in Biotechnology from Centre for Cellular and Molecular Biology, Hyderabad and earned his postdoctoral from Institute of Biology, Ecole normal Superior, IBENS – Paris. He has more than 11 years of research and teaching experience in Genome data analysis, Molecular biology, Bioinformatics. His Area of Expertise include Molecular Biology, rDNA Technology, Genetics, Genomics and Proteomics, Bioinformatics -NGS Data Analytics, PERL, R, Python, Awk, Biopython. To date, he has been the resource person for 10 Workshops, the author of 9 research articles published in peer reviewed international Journals etc.
Dr. Deepak Gola is an Environmental Consultant in Trinity International, New Delhi. He received his Ph.D. Degree in Environmental Biotechnology from IIT Delhi in 2018. Then worked as an Assistant Professor at Noida Institute of Engineering and Technology (NIET) & IILM University Institute/University for 4 Years. He is having 6 Years of Experience in the field of Environmental Biotechnology and Nanotechnology His Area of Expertise includes: Wastewater Treatment, Nanotechnology, and Carbon footprint. He is the author of more than 50 journals and book chapters, a recipient of 2 consultancy project Grants, and multiple awards etc.
Dr. Abhimanyu is an experienced researcher and academic professional with 5+ years of experience in Biotechnology and Bioinformatics. He has a strong background in computational biology, molecular docking, molecular dynamics, and bioinformatics-based research, particularly focused on mental health disorders such as depression, major depressive disorder, and bipolar disorder. His work integrates AI-assisted analysis and in-silico drug design approaches for therapeutic discovery and gene-protein interaction studies.
Dr. Sujeet Pratap Singh is Assistant Professor in the Biotechnology Department of Amity University, Lucknow. He received his M.Tech. Degree in Biochemical Engineering from IIT Kharagpur in 2006 and earned his Ph.D from Amity University, Uttar Pradesh. He is having 18 Years of Experience in the field of Biotechnology. His Area of Expertise includes Industrial Biotechnology, Fermentation Technology, Bioprocess Technology etc. He is the author of various research and review papers and a member of the editorial boards of different scientific journals.
Mr. Selva Karthick M is a Quality Control Manager and Professor (Embryology Department) at OASIS Fertility, Hyderabad. He holds a B.Tech in Biotechnology and a PGDSCT in Stem Cells from Anna University and Loyola College (2005–2010). With 12 years of experience in IVF laboratories, he has worked as a Lab Manager and QC Manager, supporting quality systems and laboratory performance in assisted reproduction. His expertise spans stem cells, IVF lab quality management, and AI applications in reproductive medicine, and he has authored a book chapter on Artificial Intelligence in Assisted Reproductive Technology.
