Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Nature Careers
- Institut Pasteur
- Université Paris-Saclay (UPS)
- Anthogyr
- Arts et Métiers Institute of Technology (ENSAM)
- CEA
- Grenoble INP - Institute of Engineering
- Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085)
- Universite de Montpellier
- University of Paris-Saclay
- Université Grenoble Alpes
- Université Paris-Saclay GS Mathématiques
- Université de Bordeaux - Laboratoire IMS
- 5 more »
- « less
-
Field
-
, The Netherlands) in the lab of Dorota Durek to test an engineered protease inhibitor in an in vitro model of skin scarring. More information on the scientific project is available here: Titre: Elucidation
-
disease models. The project offers training at the crossroads of protein engineering, structural biology, and cancer biology, and will provide the candidate with a strong interdisciplinary skill set that is
-
spanning molecular genetics, genomics, cell biology to biophysics, mathematics and computational modeling. The laboratory is housed at ENS de Lyon, a top-ranking French university, situated in the vibrant
-
of isolated clones using biochemical, biophysical and imaging methods. Engineering of protein tools using chemical or genetic methods for use in a cellular environment. Validation of tools in cellular models
-
intelligent decisions. In particular, when low latency is critical, these models are deployed directly on devices at the edge, close to the equipment itself — a necessary condition for smarter, faster
-
chemistry, materials science or equivalent having carried out research in an experimental field related to the thesis. Core competencies: crystal growth thermodynamic modeling chemical and physical
-
), Biochemistry (production and purification of protein complexes), Structural biology (cryo-electron microscopy and image analysis). The final goal is to build a mechanistic model of substrate recruitment by
-
tools • Modeling of devices with the finite element method • Micro-nano fabrication in the IEMN's clean room • Physical / Electrical characterization of devices • Participation in the ANTARES project
-
emerging models by collaboratively exploring various computation models leveraging physical devices properties. This PhD work will focus on FPGA devices in order to build an accelerated spiking neural
-
modeling. Each PhD will lead to a double degree awarded by two partner universities, preparing graduates to become leaders in Europe’s energy transition. DC7 PhD Position "Uncertainty Quantification