Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we
-
support the activity of the archaeozoologist and not to replace her. On the contrary, her knowledge should be exploited, and this is why there is a need for a comprehensive set of neuro-symbolic AI methods
-
MSc (or equivalent) in Psychology, Clinical Neurosciences, Cognitive Science, Digital Health, or related fields. Interest or prior experience in digital phenotyping, vocal biomarkers, and AI-assisted
-
asset. Excellent communication skills are required to interact with the partners associated with this multidisciplinary project. Good writing and oral knowledge in English are required to report results
-
the native pancreatic microenvironment and better capture the cellular and molecular events driving tumor initiation. The project draws on interdisciplinary expertise: Biomics brings knowledge in cancer
-
cognitive function in mice. Present results at lab meetings. Requirements: Currently enrolled in a Master’s program in Immunology, Neuroscience, or a related field. Hands-on experience with flow cytometry and
-
power system, based on the Antares open-source framework. You are a source of proposals for researching and testing innovative modeling and data analysis techniques. You will contribute your knowledge
-
:•Basic knowledge of cellular and molecular biology.•Good level of English language, which will be the working language for the project.•Critical thinking and decision making.•Adaptability.•Ability to work
-
experience are substantial advantages).•Knowledge of cellular and molecular biology.•Good level of English language, as this will be the working language for the project.•Critical thinking and decision making
-
mechanistic knowledge will be conducted, exploiting the known grouping structures among features in the omics data, using dedicated approaches for structured data analysis. With the help of statistics, machine