Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- INESC TEC
- National Research Council Canada
- INESC ID
- University of Stavanger
- UiT The Arctic University of Norway
- Instituto Superior Técnico
- Simula Research Laboratory
- Universidade de Coimbra
- University of Oslo
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Fritz Haber Institute of the Max Planck Society, Berlin
- Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra
- Max Planck Institutes
- Nanyang Technological University
- Nature Careers
- Universidade de Aveiro
- University of Bath;
- 7 more »
- « less
-
Field
-
24 Sep 2025 Job Information Organisation/Company Instituto Superior Técnico Department Direção de Recursos Humanos Research Field Engineering » Computer engineering Researcher Profile First Stage
-
, algorithms with a focus on traditional machine learning (shallow learning) and deep learning methodologies. Knowledge of Data Science, including the development of data analysis and visualisation pipelines. 5
-
level, developing and employing machine-learning tools for predicting antibody-epitope binding. In silico antibody design is a long-standing computational and immunological problem. Improving
-
have experience with applications of machine learning and deep learning on medical image data that you have experience applying methods within generative artificial intelligence to medical images and
-
developing statistical and machine learning approaches for the integration of cancer multi-omics data and the analysis of CRISPR-based screens. Responsibilities include designing bioinformatics workflows
-
benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
-
with research duties exclusively. A career plan will be prepared that specifies the competencies that the Research Fellow will acquire. Access to career guidance will be provided throughout the doctoral
-
compression testing UV–Vis spectroscopy Surface profilometry Optical microscopy Scanning electron microscopy (SEM) Experience using or working with machine learning / AI approaches for materials development
-
at developing multi-element alloy (MEA) solutions for future hydrogen storage tanks, focusing on both material properties and manufacturability. The project involves (1) leveraging machine learning and artificial
-
-award courses of Higher Education Institutions. Preference factors: Machine Learning Knowledge. Knowledge of signal processing and machine learning libraries (e.g., PyCaret, scikit-learn). Minimum