Sort by
Refine Your Search
-
Category
-
Field
-
across a range of clinically relevant pathogens. Develop novel computational methods to infer biological function directly from protein sequences, including modeling epistatic interactions and residue
-
UniGEM). Within UniGEM, this internship aims to engineer the features input into the neural network and to compute their values using real malaria parasite data. These values will be used in a subsequent
-
environmental physics affects larval actions Develop robust APIs for community access Required Qualifications Essential: Strong background in finite element methods and numerical simulation Proficiency in Python
-
the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis (tools developed by the team: https://github.com/cantinilab). Single-cell high
-
-phenotyping of individuals with autism and controls including brain imaging (EEG and MRI) and a battery of cognitive tests. Our group is currently developing new methods for analyzing whole genome and brain
-
methods in place in the applicant lab, we will produce capped mRNA encoding for antigens. We will produce Lipid Nano Particles carrying mRNA to be tested using techniques in place in the laboratory. LNP
-
following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
-
requires a simulator that captures malaria-specific recombination and transmission processes, generating realistic synthetic datasets while retaining sufficient computational eXiciency for large-scale
-
stress, inflammation, cell plasticity and degeneration, Innovative therapeutic strategies for inner-ear disorders, involving viral and non-viral gene delivery methods, innovative animal models, organoids
-
biological systems such as ecological and neural dynamics. The project is particularly suited to a student with a strong background in physics, applied mathematics or theoretical/computational biology who is