Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
position within a Research Infrastructure? No Offer Description NOTICE OF COMPETITION FOR FIVE RESEARCH SCHOLARSHIPS – MASTERS STUDENTS IN COMPUTER ENGINEERING AREA OR RELATED AREAS – SINES NEXUS PROJECT
-
of the mission, vision, role, and goals of the administrative department. The Program Coordinator II will carry out routine and semi-routine work within work parameters for the Center and under general supervision
-
subcellular mechanisms (proliferation, differentiation) with multicellular mechanical and biochemical interactions. Apply Advanced Statistical Methods: Perform Bayesian parameter estimation and identifiability
-
. Conducts all responsibilities within the parameters of the Family Educational Rights and Privacy Act (FERPA), other applicable regulatory requirements, and professional standards. QUALIFICATIONS: High school
-
in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
-
. Possible Activities: The selected candidates will work on Develop novel estimation frameworks for inferring latent risk, ambiguity, and proficiency parameters of other agents in cooperative multi-agent
-
regarding codes, values, parameters, data conversion specifications, validation criteria, forms, report standards, and ad-hoc reporting needs. Develop both functional and semi-technical specifications
-
celebrated under the Labour Code, of 1 (one) doctoral researcher position as Assistant Researcher under private law, for the exercise of scientific research activities in the scientific area of Computer and
-
to ensure proper exam for each patient. Prescribe proper scanning parameters for the most common MRI exams with the assistance of documented or computer prescribed protocols. Determines optimal imaging
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional