Sort by
Refine Your Search
-
Listed
-
Employer
- Universidade de Coimbra
- INESC TEC
- FEUP
- Instituto Politécnico de Bragança
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Faculdade de Motricidade Humana
- Instituto Nacional de Investigação Agrária e Veterinária, I.P.
- Instituto Nacional de Saúde Dr. Ricardo Jorge
- Instituto Politécnico de Coimbra
- Instituto Superior Técnico
- Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa
- NOVA Information Management School (NOVA IMS)
- UNIVERSIDADE DE ÉVORA
- Universidade do Minho - ISISE
- University of Aveiro
- 5 more »
- « less
-
Field
-
work related to the activities of WP3 ("Mapping and analysis of desertification risk, its causes and impacts") of the TERRASAFE project, with the main objective of deepening the knowledge of the impacts
-
to the following weights and criteria: - Criterion 1 – Maters average – 30% - Criterion 2 – Especific Knowledge related to the work plan – 25% - Critério 3 – Publications in scientific journals and minutes – 10
-
) Knowledge and experience in the study, research, or conservation of silver objects, precious metalwork, numismatics, or other cultural heritage materials falling within the chronological and thematic scope
-
Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 2 months ago
criteria: Curriculum Vitae (20%); Bachelor's Degree Grade (30%); Master's Degree Grade (20%); Knowledge/experience in GIS, Spatial Modelling, and InSAR (20%); Motivation Letter demonstrating compliance with
-
conducting trials to evaluate essential agronomic characteristics c) Good level of knowledge on informatics and statistics; d) Proficiency in Portuguese and English, written and spoken; e) Availability to work
-
. Preference factors: - Relevant scientific publications in the field Minimum requirements: - Completed Master's degree in the indicated areas; - Solid knowledge in Operations Research; - Experience in planning
-
' academic performance will be assessed according to the following weights and criteria: - Criterion 1: Quality of the Curriculum - Proven knowledge of imaging data analysis software (10%), Proven programming
-
/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the specific scientific field
-
for an enthusiastic and ambitious candidate with the following qualifications, knowledge, and skills: • Hold a bachelor’s degree in Sports Science (or equivalent); • Be enrolled in a master’s program in sports
-
Information Management, or related fields; Have basic knowledge of machine learning models in supervised and unsupervised learning tasks (i.e., k-nearest neighbours, Decision Trees, Neural Networks, Logistic