Engineering

Get ready for a high-energy coding adventure with RPG’s Machine Learning program! Our 1–2 month projects are fast-paced, high-impact research sprints designed for bachelor’s, master’s, doctoral students, professors, and scientists. Each project begins with a 3-day intensive training bootcamp, where our expert mentors—leading AI researchers, data scientists, and computational biologists—equip you with project-specific skills. You’ll master programming in Python, R, C, and C++, learn to build machine learning models, set up computational environments, and integrate wet lab techniques, ensuring you’re ready to innovate from day one.

Our hybrid format combines on-site work at our state-of-the-art facilities in Jashore, Bangladesh, with virtual collaboration, making it accessible worldwide. You’ll team up with top universities and state key laboratories, such as MIT (US), Imperial College London (UK), University of Bologna (Italy), Zhejiang University (China), and Bangladesh University of Engineering and Technology, gaining access to advanced computational resources, clinical datasets, and real-world validation opportunities.

Program highlights include:

Duration: 1–2 months per project, with rolling monthly intakes (e.g., June, July, August 2025) for maximum flexibility.

Format: Hybrid—on-site dry and wet lab work in Jashore, plus virtual collaboration for global accessibility.

Certification: Certificate of Research Completion, endorsed by RPG and its international partners, boosting your academic and professional credentials.

Authorship Opportunity: Guaranteed authorship on a Scopus-indexed journal publication, with potential for first authorship for exceptional contributions.

3-Day Training Bootcamp: Hands-on training on project specifics, machine learning algorithms (e.g., GradientBoosting, RandomForest), programming in Python, R, C, C++, computational environment setup, and wet lab protocols for data validation.

Global Collaboration: Work with researchers from top institutions in Italy, the US, UK, China, and Bangladesh, with access to clinical data and advanced computational tools.

Research Output: Produce predictive models, datasets, or manuscripts, contributing to RPG’s goal of 6–7 high-impact publications annually.

Mentorship: Personalized guidance from RPG’s team of AI experts, data scientists, and clinicians, fostering your growth as a researcher.

Each project follows a clear timeline: data preprocessing, model development, validation, and publication. In the dry lab, you’ll program in Python for machine learning pipelines, R for statistical modeling, C for performance-critical tasks, and C++ for optimized algorithms, using robust computational environments. In the wet lab, you’ll validate predictions with experiments, such as biochemical assays or serological analysis, adhering to strict safety protocols. Projects might include predicting glucose yields in bioreactors or developing AI-driven diagnostic tools, with applications in healthcare and biotechnology.

Our global network ensures your work has real-world impact. Past projects have involved collaborations with hospitals for biomarker analysis and state key laboratories for model optimization, giving you a CV that stands out. With flexible project selection, you can focus on deep learning, bioinformatics, or optimization, tailoring your research to your passions. Join us to code, collaborate, and conquer!

Our Machine Learning program is a thrilling journey into AI, offering 1–2 month projects that transform data into solutions. From predicting clinical outcomes to optimizing biological processes, you’ll tackle cutting-edge topics using programming in Python, R, C, and C++ for dry lab modeling and wet lab validation. Guided by mentors from top universities and state key laboratories, you’ll produce publishable results that could redefine industries.

The 3-day training bootcamp equips you with project-specific skills: machine learning theory, programming in Python, R, C, and C++, computational environment setup, and wet lab protocols. You’ll learn to code versatile ML pipelines, perform statistical analysis, and develop high-performance algorithms, all within a robust programming environment. Our curriculum is interdisciplinary, drawing on RPG’s expertise in AI, bioinformatics, and computational biology, and aligned with global research trends

Explore these exciting subjects:

Supervised Learning for Predictive Modeling: Build models like GradientBoosting or RandomForest using Python or R to predict outcomes, such as glucose yields or disease biomarkers, with wet lab validation.

Deep Learning for Biomedical Applications: Develop neural networks in Python to analyze medical images or genomic data, with applications in diagnostics and personalized medicine.

Bioinformatics and Omics Data Analysis: Use machine learning in Python or R to analyze genomic, proteomic, or metabolomic data, leveraging computational tools for drug discovery or biomarker identification.

High-Performance ML with C/C++: Implement optimized ML algorithms in C or C++ for tasks requiring high computational efficiency, such as real-time diagnostics, integrated with Python or R pipelines.

Statistical Modeling with R: Apply R for statistical analysis of biological data, creating visualizations and models, validated with wet lab experiments.

Explainable AI (XAI): Develop interpretable models in Python to ensure transparency in applications like clinical diagnostics, with dry lab focus and wet lab validation.

Time-Series Analysis for Physiological Data: Analyze time-series data (e.g., ECG, EEG) using models in Python or R, with wet lab experiments to validate predictions.

Ethical AI and Data Science: Learn to navigate ethical and regulatory frameworks for AI research, ensuring responsible innovation and data integrity.

Each project is a chance to shine! You might code a model to predict cancer biomarkers, optimize bioreactor conditions, or analyze clinical datasets, using Python, R, C, or C++. With guaranteed authorship and the potential to be first author, your work will reach a global audience through Scopus-indexed journals. Our collaborations with institutions like Stanford, Cambridge, and Tsinghua ensure your research is cutting-edge and impactful.

In the dry lab, you’ll code in Python, R, C, or C++ to develop models and perform analyses, with access to high-performance servers for tasks like model interpretation or optimization. In the wet lab, you’ll validate predictions with experiments, such as biochemical assays or serological analysis, ensuring real-world relevance. The 3-day training ensures you’re proficient in programming and lab techniques, making every project an exciting journey of discovery.

From algorithms to impact—your machine learning research will change lives!

Ready to shape the future with RPG Interface Lab? Our Machine Learning program welcomes bachelor’s, master’s, doctoral students, professors, and scientists passionate about AI-driven discovery. We’re looking for curious, driven individuals ready to dive into 1–2 month projects and make a global impact. Our inclusive approach ensures diverse backgrounds are welcome, with comprehensive training to bridge any skill gaps.

To ensure you’re prepared for our interdisciplinary projects, here are the requirements:

Academic Background: A bachelor’s degree (or higher) in computer science, data science, bioinformatics, engineering, biology, or related fields. Professors and scientists from diverse disciplines are encouraged to contribute their expertise.

Minimum GPA: 3.0/4.0 or equivalent (international qualifications assessed for equivalency). We prioritize passion and potential over strict academic thresholds.

Prerequisites: Basic knowledge in one of the following: programming (e.g., Python, R, C, C++), machine learning (e.g., regression, neural networks), or biology (e.g., genomics). The 3-day training bootcamp will cover any gaps.

Language Proficiency: Strong English proficiency is essential for collaboration in our global network. A TOEFL iBT score of 80 or IELTS score of 6.0 is preferred but not mandatory—your ability to communicate ideas clearly is key.

Application Materials:

• Detailed CV:A comprehensive CV detailing your academic achievements, research projects, publications, technical skills (e.g., programming in Python, R, C, C++, wet lab techniques), and relevant experience. Showcase your passion for machine learning!
• Statement of Purpose (SOP):A 500–800 word SOP outlining your research interests, career goals, and why you want to join RPG’s program. Tell us how you’ll contribute to our projects and what excites you about AI research.

Preferred Skills: Familiarity with programming in Python, R, C, or C++, machine learning concepts, or wet lab techniques (e.g., biochemical assays) is a plus but not required. Our 3-day bootcamp covers programming and lab protocols.

Commitment to Ethics: A dedication to ethical research, aligning with RPG’s values of equity, cooperation, and excellence. Training includes ethical frameworks for AI and data science.

The 3-day training bootcamp is your launchpad to success, covering project-specific theory, programming in Python, R, C, and C++, computational environment setup, and wet lab techniques. You’ll gain proficiency in coding and lab skills, ensuring seamless project execution. With rolling monthly intakes, you can join when it suits you—contact rpg.info03@gmail.com to discuss your eligibility or project interests.

Our program is designed for everyone from bachelor’s students to seasoned scientists, offering a vibrant platform to collaborate with global leaders and publish groundbreaking research. Whether you’re coding a predictive model or validating results with biological experiments, RPG empowers you to shine.