Sort by
Refine Your Search
-
. Familiarity with frameworks such as TensorFlow and Keras, as well as libraries including Scikit-learn, NumPy, and pandas; - Experience with machine learning models such as Extreme Learning Machine (ELM
-
Resources into Bioproducts and Bioenergy.” Required Expertise The candidate must demonstrate proven experience in: - Renewable hydrogen production; - Proficiency in thermochemical modeling and process
-
potential in preclinical experimental models. Requirements: Applicants must have obtained their PhD within the last five years and have experience in the study of non-conventional lymphocyte populations, as
-
. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
-
to staff position within a Research Infrastructure? No Offer Description What we are mainly looking for (selection criteria can be found in the position description) • PhD in aquaculture, environmental
-
erectile dysfunction and spermatogenesis. The project will include studies in humans, animal models, and in vitro approaches. Requirements: • Degree in Biomedicine, Biology, Biomedical Sciences, Medicine
-
with a PhD in Biology, Ecology, Geosciences, Earth System Science, Environmental Sciences, or related fields and proven experience in computational modeling of vegetation to conduct research
-
development of pedagogical, curricular, and institutional models related to adaptive educational games and technologies for inclusive education, with a focus on school curriculum, educational assessment, public
-
Area, and coordinated by Professor Alfeu Joãozinho Sguarezi Filho. The research is part of an international research network and involves geospatial analysis, optimization and modeling, as
-
). Candidates must meet the following requirements: - PhD in Computer Science; - Experience in research on the use of AI to recommend code refactoring opportunities; - Experience with data analysis and data