Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
time and space and create AI-based models to predict human cells. As the Scientific Program Manager, you will make a key contribution to this exciting new direction at SciLifeLab through setting up
-
infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data
-
taken a prominent role in international collaborations such as CETAF, DiSSCo, GBIF, FishBase, and CBOL. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
-
life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
-
, amplifying our global impact, accelerating innovation and maximizing scientific progress and societal benefit. The SciLifeLab Fellows Program The SciLifeLab Fellows program is a shared initiative since 2013
-
, the Faculty of Science and the regional university healthcare, within a broad range of medical topics and disease areas, as well as cutting-edge infrastructures , high-capacity computational resources
-
discovery and accelerate therapeutic development. This post is part of the SciLifeLab Clinical Genomic platform, which aims to bridge the gap between basic science and clinical implementation. The platform
-
fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
-
of data-driven life science and includes access to a formidable package of resources. Project description: DDLS Fellows Program The SciLifeLab and Wallenberg National Program for Data-Driven Life Science
-
repositories, metadata standards and best practices in open science A collaborative mindset, with the ability to work in interdisciplinary teams and communicate effectively with both computational and