From shayat at ukaachen.de Sun Jun 14 21:06:49 2026 From: shayat at ukaachen.de (Hayat, Sikander) Date: Sun, 14 Jun 2026 19:06:49 +0000 Subject: [SocBiN] Job opportunities - phd/post-doc positions Message-ID: Dear Socbin, As part of a newly funded EU-Horizon consortium, I am seeking to hire 1-2 PhD or Post-doctoral researchers broadly around "Mechanism-Informed Multimodal Generative AI for Biomedical Discovery" using single-cell and spatial omics. Please find the attached the job advertisement. Looking forward to your applications! Best wishes, Sikander Hayat -- Sikander Hayat, PhD Jun. Prof. in Translational Data Science Medizinische Klinik II, Uniklinik Aachen Associate Professor in Cardiovascular Research Cardiovascular Research Institute, Dept. of Medicine, Division of Cardiology Associate Professor in Artificial Intelligence The Windreich Dept. of Artificial Intelligence and Human Health Icahn School of Medicine at Mount Sinai 1470 Madison Avenue, Hess 7th Floor New York City, NY, USA Scholar: https://scholar.google.com/citations?user=TDXjMOEAAAAJ&hl=en ORCID: https://orcid.org/0000-0001-5919-8371 -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: PhD Student - Postdoctoral Researcher.pdf Type: application/pdf Size: 118865 bytes Desc: PhD Student - Postdoctoral Researcher.pdf URL: From info at physalia-courses.org Tue Jun 23 14:39:19 2026 From: info at physalia-courses.org (info at physalia-courses.org) Date: Tue, 23 Jun 2026 14:39:19 +0200 (CEST) Subject: [SocBiN] =?utf-8?q?=5BTraining_Courses=5D_AI-Assisted_Coding_for_?= =?utf-8?q?Bioinformatics_with_Python_=26_Agentic_AI_for_Life_Sciences_=28?= =?utf-8?q?Online=2C_July_2026=29?= Message-ID: <1782218359.980328288@webmail.jimdo.com> Dear all, We would like to announce two upcoming online training courses from Physalia Courses focused on the practical use of Artificial Intelligence in bioinformatics and life sciences research. 1. AI-Assisted Coding for Bioinformatics with Python - [ https://www.physalia-courses.org/courses-workshops/ai-powered-python/ ]( https://www.physalia-courses.org/courses-workshops/ai-powered-python/ ) 1–2 July (Online) This hands-on course introduces researchers to AI-assisted coding workflows and demonstrates how AI tools can be used effectively for Python programming in bioinformatics. Participants will learn prompt engineering, code evaluation, debugging strategies, reproducible documentation, and best practices for transparent AI-assisted programming. Topics include: * Prompt engineering for coding tasks * Generating, debugging, and improving Python scripts with AI * Data wrangling and analysis using pandas * Evaluating AI-generated code for correctness and efficiency * Reproducibility and documentation of AI-assisted workflows * Practical genomics and bioinformatics coding exercises The course is intended for biologists and bioinformaticians interested in increasing coding productivity while maintaining scientific rigor and reproducibility. 2. Agentic AI for Life Sciences - [ https://www.physalia-courses.org/courses-workshops/agentic-ai/ ]( https://www.physalia-courses.org/courses-workshops/agentic-ai/ ) 6–7 July (Online) Agentic AI systems can do much more than answer questions: they can read files, write code, execute commands, build applications, and perform complex multi-step research tasks. This course provides a practical introduction to these emerging tools and teaches researchers how to use them effectively and responsibly. Topics include: * Understanding the agent–provider–model ecosystem * Context engineering and advanced prompting * AI-assisted data analysis and figure generation * Automated presentation creation * Building interactive omics data portals * Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) * Reusable AI skills, agent configuration, and research workflows * Reproducibility, governance, and responsible AI use in research Participants will work with real life-science datasets and learn how to integrate agentic AI into their daily research workflows. Both courses are designed for life scientists, bioinformaticians, and data scientists who want practical, research-focused AI skills that can be applied immediately in their work. We would be grateful if you could share these opportunities with interested colleagues and students. Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info at physalia-courses.org mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) -------------- next part -------------- An HTML attachment was scrubbed... URL: From arne.elofsson at gmail.com Mon Jun 29 13:42:46 2026 From: arne.elofsson at gmail.com (Arne Elofsson) Date: Mon, 29 Jun 2026 13:42:46 +0200 Subject: [SocBiN] Fwd: [3d-bioinfo] 3D-BioInfo/3D-SIG In-Reply-To: References: Message-ID: Annual Meeting of the * ELIXIR 3D-BioInfo Community and the ISCB 3DSIG Community* *Rome November 25**th** - 27**th** 2026* For details and registration please see the attached flyer and below Deadline for one-page abstracts to present a talk or poster at the meeting *July 31st 2026* We hope to see you there! *Further information* Structural bioinformatics is undergoing a fast transformation with major breakthroughs from experimental methods such as cryo-electron microscopy to disruptive and transformative new approaches in computational prediction methods based on AI and machine learning. This meeting aims to bring together structural bioinformatics researchers from two international communities (3D-BioInfo and 3DSIG) for networking and to exchange ideas on the workflows and resources needed to exploit the transformative new developments in the data and methods. *The 3DSIG ISCB (International Society for Computational Biology) Community in Structural Bioinformatics covers the same broad research themes as 3D-BioInfo and is a Community of Scientific Interest (COSI) within the International Society for Computational Biology (ISCB). It hosts a scientific track within the ISCB’s annual conference and organises webinars some of which are joint with 3D-BioInfo.* *The ELIXIR Community brings together researchers working in a range of bioinformatics and computational themes and is supporting infrastructure developments, tools and resources across the country.* More information can be found: - On the event page: *https://www.iscb.org/3dbioinfo2026/home/* - On the event flyer: *https://drive.google.com/file/d/1X9BtiSupNxm-_jQTCRMCOv7wAhGlRWjo/view* With thanks Organising Committee You are on this mailing list because you registered to join an ELIXIR group, and this is one of your group's mailing lists. Please note that when you join a 'child' group then you automatically become a member of the 'parent' group, and its mailing list. For example, if you joined the Bioschemas group, then you also become part of the parent group (Interoperability in this case) and its mailing list. TO UNSUBSCRIBE: please email webmaster at elixir-europe.org. Put "3d-bioinfo" as the subject and "Unsubscribe" as the body text. To view the groups you belong to, log in to the ELIXIR intranet: https://www.elixir-europe.org/intranet See also the website privacy statement: https://www.elixir-europe.org/legal/privacy 3d-bioinfo mailing list 3d-bioinfo at elixir-europe.org -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 3D Bio Flyer Rome 2026 Jun24.pdf Type: application/pdf Size: 422513 bytes Desc: not available URL: