Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
, in collaboration with the team responsible for the development of the ApneaScreener algorithm. Knowledge of data analysis tools, particularly Python and R, will be valued to support the interpretation
-
of curriculum vitae - Criterion 2 - Adequacy of the candidate’s profile to the work plan to be developed: The candidate should have a profile geared towards experimental work and analysis of experimental data
-
cellular respiration, particularly using the continuous monitoring system Resipher; 5. the analysis and interpretation of the resulting data. V - Initial grant duration: 6 months V.I - Renewal Possibility
-
, and Data Analysis and Processing VII.II- I – In the evaluation of the interview, candidates' performance will be assessed according to the following weights and criteria: - Criterion 1: Knowledge and
-
Regulations. Where to apply Website https://apply.uc.pt/IT137-26-157 Requirements Research FieldChemistry » BiochemistryEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number
-
proficiency – 20%; - Criterion 4: Interest in conducting research and knowledge in the fields of Artificial Intelligence, Data Analysis and Transformation, and Spatio-temporal Data Representation – 40%; VII.III
-
also demonstrate knowledge in the spatial analysis of GPS data, with the ability to process and interpret information obtained from tracking devices. The fellow will directly support the experimental and
-
-of-the-art models for computer vision based on Machine Learning. Work plan: - Analysis and study of existing resources. - Analysis of the state of the art in universal adversarial attacks on computer vision
-
to express oneself and verbal fluency – 20%; - Criterion 3: English proficiency– 20%; - Criterion 4: Interest in conducting research and knowledge in the fields of Artificial Intelligence, Data Analysis and
-
-of-the-art models for computer vision based on Machine Learning. - Analysis and Study of existing resources; - Analysis of the state of the art in adversarial attacks and adversarial training and their