Sort by
Refine Your Search
-
Category
-
Field
-
progress, there is also potential for a software note describing the pipeline and its application to Pf8. PhD prospect: This internship could potentially progress into a PhD funded through PRAIRIE (Paris
-
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
-
the main bioinformatics software and methods (R, Python, Bash). Knowledge on large-scale genotyping/sequencing data analyses. Good level in statistics. Good level of written and oral English. Ease in a
-
Send your CV along with a motivation letter to [email protected] with [email protected] in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
-
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
-
pre-clinical settings. The successful candidate is expected to have: Project leadership, drive and dynamism. A PhD level, preferably without former postdoctoral experience or other with substantial
-
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
-
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
-
used by a PhD student, likely starting October 2027, to initiate development of a deep-learning architecture. The refined batch of synthetic data will be used by the PhD student to finalise the deep
-
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