Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
-
. The research will involve training machine-learning models on large structure and sequence datasets and integrating membrane-specific biophysical constraints to enable the design of membrane proteins and
-
-culture in vitro models of the central nervous system. Experience with cell-based assays and plate-based screening. Strong track record of accurate data generation, documentation and experimental
-
-culture in vitro models of the central nervous system. Experience with cell-based assays and plate-based screening. Strong track record of accurate data generation, documentation and experimental
-
and other data-driven use cases across VIB. Working directly with data, pipelines, transformations, models and code, you build and implement robust and scalable data solutions as part of your day-to-day
-
data-driven use cases across VIB. Working directly with data, pipelines, transformations, models and code, you build and implement robust and scalable data solutions as part of your day-to-day work. The
-
mathematical models to address fundamental questions in biology. Examples of research topics include but are not limited to: development of new AI architectures for biology and hybrid models that combine deep
-
Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
interested in recruiting faculty members who use and develop artificial intelligence methods and mechanistic mathematical models to address fundamental questions in biology. Examples of research topics include
-
contract with a competitive salary and attractive benefits. A role with visible impact on leadership, teams and organizational culture. The opportunity to shape a proactive HR partnering model within VIB. A
-
computational teams Access to unpublished validation data unavailable to existing agents State-of-the-art computing capable of running dozens of local large language models concurrently Data from emerging