Sort by
Refine Your Search
-
positions are closely linked, and candidates will have the opportunity to collaborate together and learn methods from the parallel project, building a broad skillset. Both positions are part of the larger
-
opportunity to collaborate together and learn methods from the parallel project, building a broad skillset. Both positions are part of the larger project “Bringing the wild into the lab with Virtual Reality
-
for genome editing, single-nuclei multiome RNA-seq, ATAC-seq and massively parallel reporter assays (MPRAs) for unbiased genome-wide analysis for understanding the phenotypic plasticity in different cancer
-
algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
-
(HPC/parallel environments), and open/reproducible release of data and analysis scripts under FAIR principles. Dissemination through high-impact journal publications and conference presentations in solar
-
algorithms will be assessed for neurodegeneration mapping in Alzheimer’s disease brain organoids. In parallel, the technology and algorithms will be applied to fish health research, supporting studies on ulcer
-
multiome RNA-seq, ATAC-seq and massively parallel reporter assays (MPRAs) for unbiased genome-wide analysis for understanding the phenotypic plasticity in different cancer cell states. Work tasks The work
-
. More about the position The postdoctoral fellow will be one of four recruitment positions in BioM filled simultaneously (parallel hires: 2 PhD fellows, in population ecology and statistics, and a
-
academic identities. More about the position The postdoctoral fellow will be one of four recruitment positions in BioM filled simultaneously (parallel hires: 2 PhD fellows, in population ecology and
-
will be one of four recruitment positions in BioM filled simultaneously (parallel hires: 2 PhD fellows, in population ecology and statistics, and a postdoctoral fellow in spatial ecological modeling