Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society
-
, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society
-
technology Preparation and support of the work by evaluating relevant technical literature and new developments Design and production of systematically varied compounds and test specimens Design and
-
Postdoctoral Research Associate - Hybrid Computational-Experimental Scientist in Bacterial Drug Resp
to antibiotics and host-like conditions. • Develop and apply statistical or machine-learning methods for interpreting single-cell and genomic datasets. • Work closely with wet-lab scientists to design perturbation
-
and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in
-
encompassing a spectrum of topics ranging from genomic analysis to clinical trial design in childhood hematological malignancies. Trainees will be closely integrated with the rich portfolio of the St. Jude
-
Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
, University of Pittsburgh The Opportunity Two postdoctoral positions are available in the Wang Laboratory at UPMC Hillman Cancer Center, one of the nation’s leading NCI-designated comprehensive cancer centers
-
within the Department of Behavioral and Cognitive Sciences. Your role Your responsibilities: Design, implement and analyse a daily diary survey across a broad adult age range Contribute
-
perturbation prediction, including the design and implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approachesConduct large-scale
-
also supports the development of AI-enabled network orchestration, as well as digital-twin-assisted planning for future IoT and 6G systems. You will be mainly in charge of: • Contributing to the design