Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
Umeå University, Mathematics and Mathematical Statistics scholarship ID: 2216 -POSTDOC11 [#26534] scholarship Title: Postdoctoral scholarship (18 months) on stochastic optimization with
-
description and working tasks Linear algebra expressions are evaluated in an efficient and robust way by mapping them to a carefully chosen sequence of calls to optimized functions as offered by libraries
-
application no later than August 1, 2025. Project description Linear algebra expressions are evaluated in an efficient and robust way by mapping them to a carefully chosen sequence of calls to optimized
-
public procurement. This research addresses a broad set of topics including optimal taxation and public expenditure, income formation, household responses to taxation and other economic policies, social
-
for tens of kilometers length. In this project, you as a postdoctoral researcher will mainly carry out: optimization of both fiber preform preparation and fiber drawing processes so as to reliably fabricate
-
to development projects. Establishing a research program in translational computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization
-
predictive of distant metastasis. 4. Apply and optimize AI-ML models based on the large datasets to identify and validate the oncogenic pathways and drug targets for designing targeted therapy. The findings
-
: detailed theoretical studies and optimization of light guidance in HCFs, characterization of fabricated HCFs (on both structural and optical transmission properties), experimental investigations of material
-
. · Use and optimize confocal microscopy approaches to image mucosal barrier function. · Plan, execute and analyse mouse experiments. · Be responsible for the maintenance of the mouse colony
-
education. Good knowledge of spoken and written English, and proven scientific experience is required. Documented knowledge and experience in machine learning, dynamical system theory, geometry, optimization