Python for Bioengineers Workshop 2.0 at JSNN

Bioimaging is one of the most powerful tools for studying multidimensional cellular structures and their spatial relationships. Integrating computational approaches into imaging workflows can significantly advance this process. This is a great opportunity for biologists who use microscopy in their research!

Image analysis is not just about quantification—it’s about how you present your data. After several weeks of training, participants are now familiar with the fundamentals of bioimage analysis and quantitative workflows. In this next session, we move into a more creative and impactful domain: scientific visualization and animation. In this class, you will learn how to: 🔹 Apply image rendering techniques for multidimensional data 🔹 Transform complex datasets into clear and compelling visual outputs 🔹 Think like a “director” to design scientific animations that enhance storytelling 🔹 Efficiently handle large-scale imaging data within the Python ecosystem With rapid advances in microscopy, datasets are becoming increasingly large and complex—posing real challenges to computational resources. This session will also introduce practical strategies for working efficiently with big imaging data. 👨🏫 Instructor Jung-Kun Wen Assistant Research Specialist, Institute of Biological Chemistry, Academia Sinica 📢 The third session, “Introduction to Python,” is now available: 🔗 NTU Imaging Core https://lnkd.in/gx73-k7w 🔗 EABIAS https://lnkd.in/gcNFyGVY #BioimageAnalysis #EABIAS #NTUImagingCore

The Oliveira Lab is hosting the Python for Bioengineers Workshop 2.0 as part of Oliveira Outreach and now in its second year. This one-day, hybrid workshop introduces participants to applying Python to biological data through hands-on sessions. No prior programming experience is required. Open to all, with a focus on undergraduate researchers in biomedical and related fields. Highlights: • Intro to Python in biological research • Hands-on coding with biological data • Guest speaker Dr. Tianqi Song • Talks from Oliveira Lab researchers • Networking with Dr. Samuel Oliveira and the lab • Exposure to research at the Joint School of Nanoscience & Nanoengineering (JSNN) 📅 April 11, 2026 🌐 Hybrid format (virtual + limited in-person) 📍 Joint School of Nanoscience and Nanoengineering , Greensboro, NC 🔗 Register: https://lnkd.in/eQDQVe-t Lunch provided for in-person attendees. Spots are limited. Read more about the workshop: https://lnkd.in/eNxryWQb #Python #Bioengineering #STEM #Workshops

Recent research has yielded significant advancements in our understanding of aging and lifespan. Utilizing the capabilities of Python, researchers are now able to analyze extensive datasets to explore the complexities surrounding immortality and the aging process. This innovative methodology facilitates the modeling of biological systems, helps identify critical factors influencing longevity, and may reveal pathways for extending lifespan. Given these advancements, the future of aging research appears promising, providing new insights into maintaining health and vitality in later years. For further details, please refer to the full article here: https://lnkd.in/ePmQYTyR #AgingResearch #Longevity #Bioinformatics #PublicHealth #PythonInResearch

Yesterday I attended a three-hour catalyst+ PGR training organized by Scottish Graduate School for Arts and Humanities #SGSAH on #computational_text_analysis at the #University_of_Glasgow, led by Dr Alex Schwartz This session offered an overview of how computational methods are being applied to data across a wide range of disciplines. It was especially interesting to see examples of published work that demonstrated how computational text analysis can be used in fields as diverse as social sciences, humanities, and beyond. This was a great opportunity to deepen my understanding of computational text analysis and its application in Python and to see its real-world applications.

⏳ Hurry up! Registration closing soon. 🐍🧬 Learn Python for Biological Data Analysis — Training 2026 EvoLearn is excited to launch a 2-Week Online Training Program on Python & Biopython specially designed for students, researchers, and professionals from Life Sciences and Biotechnology backgrounds. This beginner-friendly course will help you build essential programming skills required for modern biological research. 🔬 What you will learn: • Python programming fundamentals • Control structures, loops & functions • File handling for biological datasets • Introduction to Biopython libraries • Sequence retrieval from NCBI, UniProt & PDB • DNA sequence analysis & annotation • Working with biological datasets & visualization 📅 Duration: 20 April – 01 May 2026 🕗 Time: 8:00 – 9:00 PM IST (Mon–Fri) 💻 Mode: Live Online Sessions 👩🏫 Instructor: Dr. Nadia (PhD Bioinformatics, Director – EvoLearn) 📜 Certificate provided after completion 📚 Training materials + recordings included 🧑💻 Hands-on practical sessions included 📌 Registration closes: 18 April 2026 🔗 Register here: https://lnkd.in/gtMATuqw #PythonForBiology #Biopython #BioinformaticsTraining #LifeScienceStudents #ComputationalBiology #Training #EvoLearn

⏳ Hurry up! Registration closing soon. 🐍🧬 Learn Python for Biological Data Analysis — Training 2026 EvoLearn is excited to launch a 2-Week Online Training Program on Python & Biopython specially designed for students, researchers, and professionals from Life Sciences and Biotechnology backgrounds. This beginner-friendly course will help you build essential programming skills required for modern biological research. 🔬 What you will learn: • Python programming fundamentals • Control structures, loops & functions • File handling for biological datasets • Introduction to Biopython libraries • Sequence retrieval from NCBI, UniProt & PDB • DNA sequence analysis & annotation • Working with biological datasets & visualization 📅 Duration: 20 April – 01 May 2026 🕗 Time: 8:00 – 9:00 PM IST (Mon–Fri) 💻 Mode: Live Online Sessions 👩🏫 Instructor: Dr. Nadia (PhD Bioinformatics, Director – EvoLearn) 📜 Certificate provided after completion 📚 Training materials + recordings included 🧑💻 Hands-on practical sessions included 📌 Registration closes: 18 April 2026 🔗 Register here: https://lnkd.in/gtMATuqw #PythonForBiology #Biopython #BioinformaticsTraining #LifeScienceStudents #ComputationalBiology #Training #EvoLearn

Dear LinkedIn Research Community, I would greatly appreciate your recommendations for "video lectures, articles, or books" that explain how "Artificial Intelligence and Machine Learning tools" (such as Python, MATLAB, or other ML frameworks) can be integrated into "electrocatalyst development for HER, OER, and broader electrochemistry research". I am particularly interested in learning how AI can be applied to "design, screening, and performance prediction of electrocatalysts", as I believe these skills will significantly strengthen my future academic and research work in "electrocatalysis and energy conversion". Any guidance, learning resources, or personal experiences would be highly valuable. Thank you in advance for your support. #ArtificialIntelligence #MachineLearning #Electrocatalysis #Electrochemistry #HydrogenEvolutionReaction #OxygenEvolutionReaction #CleanEnergy #MaterialsScience #Python #MATLAB #ResearchCommunity #AcademicResearch