QSAR Lab

📣 Post-Training Update: Chemical Data Analysis in Python – QSAR Lab 🎯 Last week, we hosted the "Chemical Data Analysis in Python: Supervised and Unsupervised Methods in Computational Chemistry" training, and we’re excited to say it was a great success! 🎉 We had an excellent turnout, with participants eager to explore the field of computational chemistry. Our specialists delivered engaging lectures, and attendees actively participated in Code-along sessions, gaining practical, hands-on knowledge to confidently take their first steps in chemical data analysis. ✨ A big thank you to all participants for your active engagement! Working with such determined and enthusiastic learners is always a pleasure. 🤝 Stay tuned for more opportunities to learn and grow with QSAR Lab! 🚀 More about our courses: https://lnkd.in/gBqaay-q #PythonTraining #QSARLab #ComputationalChemistry #DataAnalysis #QSAR #QSPR #LearningJourney

🎉 Prestigious scholarship of L'Oréal-UNESCO For Women in Science Program awarded!! 🎉 Dr Alicja Mikolajczyk, Team Leader and Senior Specialist at QSAR Lab, has been awarded a scholarship in the Habilitation Category during the 24rd edition of the L'Oréal-UNESCO For Women in Science Program, held in Warsaw, 2024. 🌟 About the Program: The L’Oréal-UNESCO For Women in Science initiative celebrates and supports the scientific achievements of talented female researchers. It aims to inspire them to continue their groundbreaking work, contribute to the advancement of science, and provide them with financial support to pursue their goals. The program is organized by L’Oréal Polska, in collaboration with the Polish National Commission for UNESCO, the Ministry of Science and Higher Education, the Polish Academy of Sciences, and the UN Global Compact Network Poland. 💡 Poland was the second country, after France, to create a local edition of this global initiative, with the first scholarships awarded in 2001. This year, Dr Alicja Mikolajczyk joins an elite group of recipients recognized for their contributions to life sciences research. ✨ About Dr Alicja Mikolajczyk: Dr. Mikołajczyk is a chemist specializing in the digital design of materials, chemicals, and drugs following sustainability and safety ideas. Her research integrates cutting-edge methods in artificial intelligence, machine learning, and quantum chemistry. Having completed multiple research fellowships in the United States and collaborating with many universities worldwide through key EU projects in Key Enabling Technologies (KETs), Dr. Mikołajczyk has established herself as a leader in her field. 🤝 Alicja - sincere congratulations! We are very proud of your achievement, and wish you continued success in the future! ✨ #WomenInScience #Innovation #Chemistry #AI #QuantumChemistry #Sustainability #LorealUNESCO #ForWomenInScience #QSARLab

🚀 Become a NAM's Service provider in NAMs Network for free! 🚀 Until 31st December 2024, signing up as a NAM Provider is entirely free. 🎯 If your company offers non-animal methods and services, your expertise and solutions will perfectly fit the NAMs.Network.   By joining NAMs.Network as a Service Provider, your organization can: ‣ Showcase your services for free to a global audience interested in non-animal methodologies, ‣ Connect with researchers and companies seeking innovative alternatives to animal testing, ‣ Contribute to the advancement of NAMs and promote the benefits of ethical and scientifically advanced testing approaches.   Reach clients and partners prioritizing NAMs in their work.   Joining the database is incredibly easy - just let us know that you want to appear in NAMs.network as a NAM Provider and attach: ‣ your organization/company name ‣ your address ‣ your company logo ‣ a short description of your company (400 characters) ‣ a list of endpoints for which you can perform research - check out the list of NAMs already entered into the database, and if you want to suggest a new one, no problem! 🤝 Join NAMs community today! https://nams.network/ #NAMsNetwork #NAM #NAMs #NonAnimalTesting #Innovation #InSilico #InChemico #InVitro #ScientificAdvancement #NAMprovider #provider #service

🎬 For one day, QSAR Lab office turned into a movie set. With the support of a talented production crew, we recorded a short video showcasing our company. While our daily focus is on advancing science and tackling complex research challenges, stepping in front of the camera was an exciting new experience.   This project gave us the chance to share more about our expertise and our approach. 🚀 We can’t wait to see the final cut and look forward to sharing it with you all soon. Stay tuned! 🚀 Thanks to Univentum Labs for the great initiative and realisation. ✨ #BehindTheScenes #CompanyCulture #promotion #clip #business #Innovation #Science

Professor Tomasz Puzyn, CEO of QSAR Lab, was one of the panellists at the Deep Tech CEE Summit & Challenge in Warsaw. 🚀 The panel, titled “Leadership in Deep Tech: What It Takes to Drive High-Tech Innovation,” sparked insightful discussions on the unique challenges Deep Tech leaders face, especially when transitioning from a scientific to a CEO role. 🎯 Panelists explore crucial topics like whether founders should also act as CEOs if these roles are best divided, and how to balance company management with ongoing research. The experts also shared practical advice on merging deep technical expertise with essential business acumen, and discussed the lessons learned—and mistakes to avoid—while leading in the high-tech innovation space. Thanks to the other experts in this panel for the valuable insights and engaging conversation. Being part of this year’s Deep Tech Summit was a pleasure—special thanks to the organizers for the invitation and the flawless event execution. ✨ 📸 More photos from the Panel are in the comments below. #DeepTech #Innovation #Leadership #CEORole #TechSummit #HighTech https://lnkd.in/dk-N-UD3

🔵 Chemical data analysis in Python - Supervised and unsupervised methods in computational chemistry - Online Training Course - hands-on type. Last chance to join! Date: 21-22/11/2024 🎯 Gain a unique experience and learn from our experts. Code-along sessions, practical knowledge, and an individual approach are everything you need to take your first steps in the world of chemical data analysis. - Data processing and pre-processing - Chemical data analysis and unsupervised learning - Supervised methods and QSAR/QSPR methodology - Model assessment and practical exercises If you are an R&D specialist, bioinformatician, data analyst, or student interested in computational chemistry - this Python training is for you! The training is intended for participants at all levels of advancement. 👉 Sign up today - the number of places is limited! Course details: Date: 21-22/11/2024 Hours: 8:00 -16:00 Form: Online by Teams Language: English Price: 425 € net/person Check the detailed training program on our website. https://lnkd.in/dkQ348jD Register by the link below: https://lnkd.in/dzS-J7qY

🔵 Dive into Chemical Data Analysis with Python - Join Our Online Training Course! 🚀 Supervised & Unsupervised Methods in Computational Chemistry – Hands-on Learning Experience 🗓️ Date: 21-22 November 2024 Ready to enhance your skills in chemical data analysis? 🎯 This course is packed with practical, code-along sessions led by industry experts. Perfect for anyone looking to break into the world of computational chemistry. What you’ll gain: Data processing and pre-processing techniques Unsupervised learning in chemical data analysis Supervised learning methods & QSAR/QSPR methodologies Hands-on model assessment exercises Whether you're an R&D specialist, bioinformatician, data analyst, or student eager to explore computational chemistry, this training will equip you with valuable, actionable knowledge. All experience levels are welcome! 👉 Sign up now – limited spots available! 📅 Course Details: Date: 21-22/11/2024 Hours: 8:00 – 16:00 Format: Online (via Microsoft Teams) Language: English Price: €425 (net/person) Learn more and check the full program on our website: https://lnkd.in/dkQ348jD Register here: https://lnkd.in/dzS-J7qY #Python #Training #ChemicalDataAnalysis #ComputationalChemistry #DataScience #Bioinformatics #MachineLearning #QSAR #Online #DataAnalysis #UnsupervisedLearning #SupervisedLearning

The NAM Journal homepage on ScienceDirect is already available! ▶︎ Open Access fees are waived for the first two years. 💡 NAM Journal welcomes original research papers, review papers, opinion papers and meeting reports dealing with NAM production and their use in toxicology, chemical risk assessment and biomedical research, amongst other fields. https://lnkd.in/exXcCnHG. #NAMs #NAM #ScientificResearch #ChemicalTesting #AlternativesToAnimalTesting #OpenAccess #Toxicology

🌟 Nobel-Level Precision with PeptAIm & nQTb AI Solutions🌟 This year's Nobel Prizes in Chemistry and Physics highlight groundbreaking advancements in AI and molecular science — the very foundation upon which QSAR Lab has built its innovative tools, nQTb and PeptAIm. 🔬 PeptAIm harnesses the power of AI-driven peptide-protein interaction analysis, much like the Nobel-winning AlphaFold technology that revolutionized protein structure prediction. PeptAIm is paving the way for custom molecular diagnostics and therapeutic innovations, reducing the time and cost of peptide design with unmatched precision. 💻 nQTb (https://nqtb.app/) is powered by advanced AI models, a direct nod to the contributions recognized in this year's Physics Prize. By applying machine learning, nQTb accelerates toxicological predictions and streamlines nanoform testing, making human toxicity prediction more efficient and affordable. At QSAR Lab, we’re proud to be at the forefront of applying these Nobel-winning technologies to real-world problems in biotech, nanotech, and pharma. 🚀 #AI #NobelPrize #Innovation #QSARLab #PeptAIm #nQTb #ProteinDesign #ComputationalChemistry #Toxicology #MolecularDiagnostics #Nanotechnology #Nobel2024 #prize #Nobel   https://lnkd.in/g8-xG_b 

🏅 Dawid Falkowski is one of the awarded scientists for the best poster at the #NANOTOX2024 in Venice! Congratulations Dawid, and wish you a lot of success in your future work! ✨ #bestPoster #poster #award #scientist