Sort by
Refine Your Search
-
biostatistics, bioinformatics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and statistics / machine learning is required Previous work and
-
areas Prior experience in large-scale data processing and statistics / machine learning is required Previous work and publications in bioinformatics analysis of large-scale biomedical data, e.g., omics
-
and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
-
the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
-
and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
-
and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
-
resonance imaging (MRI) or focalized X-ray irradiator devices will be a plus. Experience on bioinformatic analyses (WES/WGS, (sc)RNA-Seq, ChIP-Seq, ATAC-Seq, Proteomics, Spatial Transcriptomics) and/or R
-
and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
-
and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
-
information encoding and computation in neocortical circuits. The successful candidate will lead an ambitious project on synaptic and circuit mechanisms of sensory processing in primary visual cortex (V1