Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, Energy Materials, Semiconductor Materials, Nanomaterials, and Computational Modeling of Materials. Expertise in experimental synthesis and characterisation or advanced computational approaches is highly
-
processes through experimental characterization, design of production units, and development of predictive process models. Models will integrate sustainability assessments and genomic data and explore links
-
staff position within a Research Infrastructure? No Offer Description The project “Teachers’ purpose and well-being: a study with Brazilian public school teachers in light of the Organizing Models
-
Ability to collaborate effectively with a diverse team of researchers and students Excellent communication skills Fluent in English (written and spoken) Experience with ab-initio modelling of optical
-
researcher or project researcher to work in the SnowPower-project, which is led at University of Turku by university lecturer Sami Jouttijärvi. The project funding covers the years 2026-2029 (https
-
on the development of novel methods for the analysis and optimization of components and structures based on mathematical modelling and experimental investigations of phenomena that are highly interdisciplinary and
-
Title: Associate or Senior Editor (Precision Oncology) Organisation: Nature Communications Location: Shanghai, Beijing or Pune - hybrid working model Closing date: January 18th, 2026 About Springer
-
Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of Mathematical Modeling and Machine Learning Doctoral Candidate
-
. Meeting the project deliverables within the project timeframe, which consists of the following responsibilities: Explore different numerical models that can capture droplets physical behavior under both
-
of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging