-
author) in the field of computational biophysics (molecular dynamics simulations and/or quantum chemistry). Any experience in development and application of AI/ML methods in tandem with modeling and
-
to: Develop and apply machine learning models for analyzing complex datasets related to nature conservation. Establish and maintain code and data repositories to ensure efficient workflow and collaboration
-
integrating genomic data into genome-wide regulatory networks. Current projects include (i) modeling distal regulatory interactions, (ii) modeling networks based on single-cell and spatial omics data, and (iii
-
-requisite for the position. Previous experience of working with in vivo models of cancer is considered an advantage. Strong command in written and spoken English is required. The chosen applicant is expected
-
significant merit: (mammalian) cell culturing techniques, in vivo models, high throughput screening, molecular biology or bioinformatics excellent written and verbal communication skills (in English) strong
-
bioassay development and validation previous experience on one or more of the following fields is considered a significant merit: (mammalian) cell culturing techniques, in vivo models, high throughput
-
biology studies to identify and characterize adaptive homeostatic responses in novel disease models. These insights hold significant translational potential, particularly for pharmaceutical companies