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Category: "Geospatial Data Science"

Books

  1. Crispr Revolution: Building a Multi-Billion Dollar Company from Ground Zero"
    Turning Cutting-Edge Science into a Multi-Billion Dollar Biotech Business
    Dr. johnson krish

    Unlock the secrets to building a multi-billion-dollar company in the groundbreaking field of CRISPR gene-editing technology. *CRISPR Revolution: Building a Multi-Billion Dollar Company from Ground Zero* is the ultimate guide for entrepreneurs, scientists, and investors looking to capitalize on the future of genetic modification. Learn how to navigate the complexities of gene-editing, from understanding the science behind CRISPR to scaling your business, securing funding, and overcoming regulatory challenges. With actionable insights, proven strategies, and expert advice, this book empowers you to transform cutting-edge science into a thriving, profitable business. Whether you're aiming to cure diseases, enhance human longevity, or revolutionize agriculture, this book provides the roadmap to succeed in the rapidly evolving world of CRISPR. Take the first step toward creating a global impact and financial success in the biotech industry. Your journey to success starts here.

  2. The McGinty Equation
    Unifying Quantum Field Theory and Fractal Theory to Understand Subatomic Particle Behavior
    Chris McGinty

    Beyond practical applications, the McGinty Equation underscores the beauty and elegance of physics, demonstrating how theoretical concepts can be used to solve complex problems and uncover new truths about the universe. Its potential applications extend beyond quantum mechanics and into other fields, such as biology, finance, and computer science.

  3. Hypothesis Testing
    The Simplest Guide In The Cosmos
    Lee Baker

    Hypothesis Testing - The Simplest Guide In The Cosmos is a series of 6 short, snappy editable books that will help you reach the right conclusions about your data.These books make no assumptions about your previous experience and are perfect for beginners and those just getting started with hypothesis testing.