Dry Lab / Computational
In-silico work: algorithms, statistics, modeling, and data standards.
In-silico work: algorithms, statistics, modeling, and data standards.
Bench workflows: culture, assays, analytics, and validation.
Integrated pipelines: computation guides experiments; experiments validate models.
Microbes across environments, hosts, and industries.
Clinical pipelines from discovery to trials and public health.
Scale-up, QA/QC, and process engineering for bio-based products.
Core lab and in-silico methods that power multiple domains.
Programming, analytics, and clinical data standards.
Identity, lineage, diversity and evolutionary change.
Ecosystems, sustainability, blue/green technologies.
Crop science, plant health, food safety & nutrition.
Hardware, automation, and cross-discipline engineering that enable bio R&D.
Broad foundations that touch many sectors and domains.
9:30 AM to 5:30 PM
Students/Scholars are assigned 3 to 5 hours/day based on their protocols.
2 to 4 hours per day as per discussed with NTHRYS Management before booking the slot.
All activities (Online / Virtual and Offline) are managed through the NTHRYS Project Dashboard System — a web portal designed exclusively to facilitate, guide, and track your progress throughout each phase.
Guided assistance in selecting and refining your research topic or project title within the dashboard interface.
Step-by-step guidance in defining objectives, research questions, and methodology using interactive templates and mentor feedback on the dashboard.
Installation assistance, tool demonstrations, and access to recommended software provided via the dashboard with mentor instructions and documentation.
Students/scholars execute research tasks on their own systems while mentors monitor and guide progress through the dashboard system.
Data analysis, results review, and interactive discussions are facilitated through dedicated dashboard modules ensuring research integrity.
Proper documentation of results, methodology, and conclusions using dashboard templates, ensuring consistency and completeness.
No Video Calls, No Theory Classes: All learning is task-based, with hands-on execution by students/scholars under the guidance of mentors using the NTHRYS Project Dashboard System.