Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
with Linux, Docker, MongoDB, PostgreSQL, and Opal technologies; - Experience with CI/CD methodologies and technologies; - Software development experience based on JavaScript (ReactJS, NodeJS) and Python
-
on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Experience with different programming languages, including C, Python, Go, and Rust
-
with instrumentation; Experience in applied optics; Proficiency in Python. Funding Entity: project LIBScan, with reference 17490 (COMPETE2030-FEDER-01205900) Co-funded by ERDF - European Regional
-
for spectral and spatial data pre-processing, as well as on machine learning algorithms, chemical map reconstruction, and algorithmic correction of galvanometric scanning.; Training will cover Python programming
-
., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation
-
experience in a professional context; - Experience in developing software based on JavaScript (ReactJS, NodeJS) and Python; - Experience with the use, integration, and development of APIs; - Experience in
-
learning. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION
-
. Knowledge of machine learning/deep learning (e.g., classification, feature learning, neural networks). Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good
-
requirements: Experience in fluid-structure interaction, numerical modeling, dynamic analysis of offshore structures and/or processing of sensor data. Skills in scientific programming (Python, MATLAB
-
Python and specifically PyTorch/Tensorflow; - Previous experience in the preparation and submission of scientific papers; - Previous experience in medical image research projects; - Proficiency in