Sarah Meere’s Post

🌟 Empowering Biology with Programming Tools: I recently attended an insightful workshop on Python for Data Science and Machine Learning, organized by Decode Life. A heartfelt thank you to the organizers and mentors for creating such a valuable learning experience! The workshop provided hands-on training in applying computational tools to biological data analysis. Some of the key highlights include: 👉 Leveraging Pandas and Bio-Python for efficient handling and analysis of biological datasets 👉 Performing Differential Expression Analysis and visualizing genomic data 👉 Building machine learning models, including Convolutional Neural Networks (CNNs), for protein stability predictions This experience has deepened my understanding of how programming can be integrated with biology to enable advanced analysis in areas like genomics and synthetic biology. The skills I’ve gained will be instrumental in my research journey, especially as I work toward tackling global challenges in microbiology and biotechnology. Thank you, Decode Life, for this incredible opportunity! #Python #Bioinformatics #MachineLearning #Genomics #ComputationalBiology

Here's your chance to learn about a field that's high in demand: bioinformatics. 🧬 Bioinformatics is the intersection of biology and tech. The projects in this field are infinite; and that's what we'll be discussing in our upcoming webinar. Parents and students are encouraged to register. RSVP below! https://bit.ly/49GJ9ci #ArtificialIntelligence #AI #Technology #MachineLearning #Technology #Innovation #Coding #Programming #DataScience #AILiteracy #AIforKids #Educators #Webinar #Bioinformatics #DNA #CollegeAdmissions #PassionProject #OnlineWebinar #SummerProject #AIinHealthcare

At SilicoGenesis, we've developed cutting-edge AI and machine learning models to accelerate the discovery of antibodies at an unprecedented speed and scale. Curious about how we can help drive your drug discovery projects forward? Or perhaps you're interested in Protkit, our open-source Python library designed for a wide range of computational biology tasks? Connect with us today, and let's explore how we can collaborate. #ComputationalBiology #MachineLearning #DrugDiscovery #ProteinEngineering #OpenSource

Since one of my hobbies is to collect interesting links😅 I've compiled a treasure trove of resources on AI, ML, programming, genomics, and bioinformatics etc. 🧬💻 Are you looking to level up your skills in these in-demand fields? This curated list contains reads and tools to jumpstart your learning journey! I've categorized them by topic for easy exploration. Check out the table below to find resources that fit your interests! https://lnkd.in/eTMRKDeY P.S. I'm always on the hunt for new and interesting resources. If you've stumbled upon any hidden gems in the world of AI, ML, programming, genomics, and bioinformatics, please share them in the comments below! 

🚀 Join Our Hands-On Workshop: Molecular Docking Using Python for Drug Discovery! 🧬💻 Unlock the power of molecular docking and Python to accelerate drug discovery! This workshop is perfect for researchers, bioinformaticians, and computational chemists looking to enhance their skills. Get practical experience with tools like AutoDock, RDKit, and PyMOL to simulate, analyze, and optimize protein-ligand interactions. Key Highlights: 🔬 Introduction to Molecular Docking 💻 Setting Up Python with AutoDock, RDKit & PyMOL 🧬 Protein & Ligand Preparation Techniques 📊 Running Docking Simulations with Python 🧪 Analyzing Binding Poses & Visualizing Interactions 🧠 Optimizing Ligand Binding for Drug Development 👩💻 Real-World Coding Sessions for Practical Experience Who Should Attend: 🧑🔬 Researchers 💻 Computational Chemists 🔬 Bioinformaticians 🧬 Drug Discovery Professionals 👉 Don’t miss out on this opportunity to enhance your skills and take your research to the next level! #MolecularDocking #PythonWorkshop #DrugDiscovery #ComputationalChemistry #Bioinformatics #RDKit #AutoDock #PyMOL #PharmaceuticalResearch #HandsOnTraining #Science #Biotech #ResearchAndDevelopment #MedicinalChemistry #ProteinsAndLigands #MachineLearningInScience #AIForDrugDiscovery #DrugDesign ✨ Secure your spot today! 🚀

BioSB research school organizes the course: 'Constraint-based modeling: Introduction and Advanced topics' From 10 - 14 February 2025 at the campus of Wageningen University & Research This course will introduce computational modeling of large (genome-scale) metabolic reaction networks through a scalable framework known as constraint-based modeling. Emphasis will be on the usage in both biotechnology and systems biomedicine. Main topics will be fundamental constraint-based modeling methods, omics data integration, multi-scale modeling and microbial community modeling. The course will combine theoretical lectures with tutorial exercises and computational exercises in Python.

Excited to announce the publication of my latest book "Machine Learning for Engineers - Introduction to Physics-Informed, Explainable Learning Methods for AI in Engineering Applications"! 📘🚀 Dive into the world of ML/AI with a unique focus on physics-informed and explainable learning methods. Plus, it features all codes in Python, ready for you to use them! Check it out here: https://lnkd.in/e8Z6WAfQ Stay well and healthy! #AI #Engineering #MachineLearning

The moment you realize biology speaks Python! Every data point can lead to a breakthrough, and every code commit can change lives. The convergence of biology and tech has paved an astonishing career path where lab coats meet laptops, and petri dishes meet petabytes. In the rapidly evolving fields of biotech and computational biology, every discovery is a surprise waiting to happen. It's not every day you witness a DNA sequence being deciphered by algorithms that could rival the complexity of life itself. Who else has had their 'eureka' moment in this interdisciplinary world? #Bioinformatics #BiotechCareers #ComputationalBiology #TechInnovation #biotech #PerezTheDev #microbiology

Medical Image Segmentation using U-Net | Deep Learning Projects | Codersarts 🚗🤖 This course focuses on Medical Image Segmentation using U-Net. Throughout the course, participants will learn: Gain expertise in medical image segmentation, Python programming, and U-Net architecture while mastering lung tumor segmentation and model evaluation techniques, vital for healthcare applications. For further details on prerequisites, covered topics, and utilized libraries, please refer to the provided PDF file. Should you have any inquiries, feel free to reach out to us at [email protected] #MedicalImageSegmentation #UNet #DeepLearning #PythonProgramming #HealthcareTech #DataPreprocessing #LungTumorSegmentation #ConvolutionalNeuralNetworks #AIProjects #CodersartsTraining #codersarts

As a Computer Engineering graduate with a keen interest in machine learning and image processing, I recently delivered a presentation on "Fake Currency Detection using Image Processing." This project explored the use of advanced algorithms like K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) to differentiate between genuine and counterfeit currency. In the presentation, I focused on key security features of currency such as the identification mask, latent images, and security threads, applying various steps of image processing using Python. I also delved into the advantages, disadvantages, and limitations of these approaches, referencing leading research papers to support the findings. This experience has deepened my understanding of how image processing and machine learning can be effectively applied to real-world problems, further solidifying my passion for technology-driven solutions. I am always eager to expand my knowledge and apply my skills to impactful projects. #MachineLearning #ImageProcessing #Python #FakeCurrencyDetection #KNN #SVM #Research #Technology #AI #ComputerEngineering #TechInnovation #DataScience #Algorithms #Engineering