Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Do you think that quantum computing can open genuinely new routes for analysing biological data? Are you excited to work where bioinformatics, molecular modelling and quantum algorithms meet? Join
-
bioinformatic approaches. Working in a highly collaborative environment together with the Artegiani-Hendriks group in the Máxima, you will uncover the developmental origins, molecular mechanisms and sex-specific
-
design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale microbiome and genome
-
, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale
-
predictions into biological insights and identify ancient genetic traits that may contribute to future climate-resilient agriculture. Within Wageningen University, you will be embedded in the Bioinformatics
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description Host: Structural Bioinformatics Group, Radboudumc
-
computing. The successful candidate will work with Dr. Dan Stowell and his research team. The position is set in the exciting, friendly, and interdisciplinary environment of the "Imaging & BioInformatics
-
well as lineage-specific variants. Your duties Using your experience and enthusiasm for mass spec, in-situ hybridisation and bioinformatics, you will start by refining the mass spec imaging technique for work
-
the exciting, friendly, and interdisciplinary environment of the "Imaging & BioInformatics" research group in the Leiden Institute for Advanced Computer Science (LIACS). Stowell's team also has regular close
-
related field; Experience with culturing aquatic microorganisms, physiological assays and fieldwork in marine ecosystems; Experience with omics-techniques and bioinformatic/computational analyses are a plus