23 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at VIB
Sort by
Refine Your Search
-
experimental workflows for generating and automating the acquisition of high-quality training datasets for machine learning models. Provide training to students on new technologies, protocols, and best practices
-
support functions. How to apply Please complete the online application procedure (https://jobs.vib.be/apply/131401 ) and include a detailed CV and a motivation letter. For further information and questions
-
Application tool (https://jobs.vib.be/apply/130981 ). Required documents: detailed CV motivation letter names and contact details of 3 referees (if available) More information: bart.destrooper@kuleuven.be
-
the city of Antwerp, the capital of Flanders, offering a culturally and historically rich, and ethnically diverse environment. For information about the lab https://mancusolab.sites.vib.be/en For information
-
extraction to support discovery. Collaborate with researchers to identify opportunities where generative AI and LLMs can accelerate scientific progress. Work with the Head of the Machine Learning Expertise
-
experience with data analysis Enthusiastic team player Basic understanding of immunology Desirable but not required Experience in single-cell or spatial data analysis Machine learning experience Key personal
-
is a plus Knowledge of network environments is an asset Key personal characteristics Structured and detail-oriented Eager to learn and able to persevere when facing technical challenges Communicative
-
development You will learn new techniques and tools You will have freedom to shape your work and shape your job Exposure to diverse projects and cutting-edge technologies A competitive salary and benefits
-
submissions and capture lessons learned. Infrastructure & Facilities: Map & asses testing capabilities in Flanders. Conduct gap analyses to identify missing infrastructure and propose solutions to strengthen
-
, issues, and mitigating actions. Actively identify risks early and ensure they are addressed and escalated when needed. Follow up on issues until resolution and ensure lessons learned are captured