Bringing life science professionals together and furthering skills in the scientific community are in SciLifeLab’s DNA. Our many events spanning a wide range of topics, present opportunities to develop your know-how and share your own experiences and network – sparking new ideas, as well as new collaborations. All events are free and open to everyone (unless otherwise stated), and we warmly welcome participants from industry, academia, healthcare, and beyond.
To support lifelong learning, the SciLifeLab Training Hub offers a vibrant community where instructors and learners come together to gain new skills and grow through shared knowledge. Explore all our courses, training, and educational offerings at training.scilifelab.se.
Join Us for a Seminar on Single-cell RNA Sequencing (scRNA-seq) Single-cell RNA sequencing (scRNA-seq) has become a key tool in genomics, offering researchers deep insights into cellular behavior. While droplet-based methods are commonly used, they often come with limitations in flexibility, cost, and scalability. Parse Biosciences’ Evercode technology offers a solution, enabling scalable single-cell sequencing […]
Seminar where PhDs & Postdocs present their projects. You can bring your lunch.
A jointly organized workshop by the Swedish Metabolomics Centre (SMC) and FIMM's Metabolomics Unit - University of Helsinki providing an introduction to different aspects of metabolomics, from experimental design to data analysis. The programme consists of a public symposium on the first day and practical elements for workshop participants on days 2-3. Workshop participants are […]
This course covers lectures and practical demonstrations in SEM and TEM techniques. The contents include principles of electron microscopy, specimen preparation, cryo-electron microscopy and correlative light-electron microscopy. The main focus will be on imaging biological samples, but the course may also be suitable for material scientists interested in high-resolution electron microscopy. Application deadline:10 September 2024 […]
The Annual Conference SciLifeLab Science Summit is a one-day symposium with a new topic each year. The topic for 2024 is Spatial Biology.
Dear Everyone, We are excited to host a new Coaching in Science Initiative (CSI) Seminar titled: ‘Imposter Syndrome’ Imposter Syndrome is a common yet often overlooked challenge in academia, affecting scholars at every stage—from graduate students to senior faculty. Despite your accomplishments, do you often feel like you don't belong or fear being "exposed" as […]
KVA-JSPS lecture about orexins. Prof. Masashi Yanagisawa, MD, PhD, International Institute for Integrative Sleep Medicine, University of Tsukuba, Japan, Professor Masashi Yanagisawa, the discoverer of both endothelin and orexin, which are extremely important peptides for blood pressure and sleep regulation, will give a lecture in Uppsala, H:son Holmdahlsalen, Entrance 100, Akademiska sjukhuset. His lecture will […]
Seminar where PhDs & Postdocs present their projects. You can bring your lunch.
The DDLS research area Epidemiology and Biology of Infection invites you to its second in-person symposium. (The event is fully in-person only). The symposium will focus on promoting and enhancing data-driven environmental assessment for infectious diseases (including antibiotic-resistant bacteria) across various settings using diverse approaches. The symposium will feature both local and international high-profile speakers […]
Joan Camuñas-Soler, Assistant Professor, University of Gothenburg
The National Genomics Infrastructure is pleased to announce the Stockholm Single Cell Genomics 2024 Symposium, taking place on October 8th this fall. Join us for a day of engaging talks by experts in the field, a chance to explore the latest technologies, and networking opportunities. Confirmed speakers: Sponsors: Scale Biosciences, Pixelgen Technologies, BioSkryb, Techtum, Parse Biosciences, 10X Genomics, Illumina, Oxford Nanopore Technologies and BD Biosciences. […]
A hackathon for networking and collaborating on hands-on projects in data driven life sciences