Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- DAAD
- FEUP
- Instituto Nacional de Saúde Dr. Ricardo Jorge
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Faculdade de Ciências e Tecnologia
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Universidade de Coimbra
- University of Porto
- University of Trás-os-Montes and Alto Douro
- ESS - Escola Superior de Saúde
- Faculdade de Ciências Sociais e Humanas
- Instituto Politécnico de Bragança
- Instituto Politécnico de Coimbra
- University of Oxford
- 5 more »
- « less
-
Field
-
Overview Eine Druckversion dieser Ausschreibung (PDF) steht Ihnen in den weiteren Registerkarten (z.B. „Bewerbungsvoraussetzungen“) zur Verfügung. A print version of this announcement (PDF) is available in the further tabs (e.g. “Application requirements”). Objective The programme aims at...
-
» OtherEducation LevelBachelor Degree or equivalent Skills/Qualifications Mandatory requirements: Bachelor’s degree in Biomedical Engineering, Computer Science, Data Science, Applied Mathematics, or related fields
-
or equivalent Skills/Qualifications Master’s degree in Education Studies; Final grade of 17/20 or higher; Enrolment in a non-degree course; Background in data analysis, statistics or research methodologies
-
the use of databases or knowledge in data processing and statistical metrics*; 2. Proficiency in English*; 3. Knowledge of Python, MATLAB or R programming languages*; * mandatory requirement Work plan: The
-
at the Mathematics and Information Systems Group of the Faculty of Economics of the University of Porto, under the following conditions: 1. Research area: Information Systems. 2. Admission requirements: To apply
-
2030 Regional Programme, Portugal 2030, and underway at the Mathematics and Information Systems Group of the Faculty of Economics of the University of Porto, under the following conditions: 1. Research
-
Computer Science, Big Data, Mathematics or related fields*, with a background in Physics. • Enrolment in a non-degree awarding course*. *Applicants who have obtained their academic degree abroad must have
-
: • Holder of a Master’s degree in Computer Science, Big Data, Mathematics or related fields*; • Enrolment in a non-degree awarding course*; • Experience with Large Language Models applied to the space domain
-
from developing and emerging countries. It offers the opportunity to continue their academic and professional career in innovation-driving STEM fields in Germany with a Master’s degree in mathematics
-
conducting statistical analyses for experimental studies, plus solid knowledge of time series analysis; 5 points; Experience in other relevant engineering fields – 2 points. c) High proficiency in design