Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- INESC ID
- Faculdade de Letras da Universidade de Lisboa
- Ghent University
- Universidade Católica Portuguesa - Porto
- Universidade do Minho - ISISE
- Centro de Estudos Sociais da Universidade de Coimbra
- Universidade de Coimbra
- University of Adelaide
- University of Basel
- University of Melbourne
- University of Victoria
- 1 more »
- « less
-
Field
-
: academic curriculum 25% - additional experience aligned with the overarching goals of the grant The evaluation panel assigns a classification to each of the candidates on a scale of 0 to 100 points, ranking
-
The selection will be based on the following criteria: Academic Curriculum (50%)Previous experience (50%) The evaluation panel assigns a classification to each of the candidates on a scale of 0 to 100 points
-
discovery and development through in vitro modelling of in-patient conditions in order to address antibiotic resistance, a problem of global importance. To reach this goal, AntiResist has assembled a panel of
-
solutions relevant for the domain of the project will be considered for this criterion, including reports and publications). 50% - Adequacy of the relevant academic enrolment. The evaluation panel assigns a
-
% - Experience in Security and Management of Information Systems, Data Science and Data Analysis and Integration The evaluation panel assigns a classification to each of the candidates on a scale of 0 to 100
-
% Motivation Letter. 50% Curriculum vitae. 30% Bioinformatics experience. The evaluation panel assigns a classification to each of the candidates on a scale of 0 to 100 points, ranking the candidates according
-
description (e.g., using SystemVerilog, or VHDL) The members of the evaluation panel assigns a classification to each of the candidates on a scale of 0 to 100 points, ranking the candidates according
-
and academic activities). Criterion E (40%): Professional and/or scientific experience Criterion M (10%): Motivation letter. Criterion R (10%): Reference Letters (2). The Evaluation Panel assigns a
-
the required areas: 30% Publications: 20% The evaluation panel assigns a classification to each of the candidates on a scale of 0 to 100 points, ranking the candidates according to their classification
-
evaluation criteria: BSc Grades -30% Experience in the required technologies - 40% CV - 30% The evaluation panel assigns a classification to each of the candidates on a scale of 0 to 100 points, ranking