114 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at Aarhus University
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
assets, and we welcome all applicants. At the Faculty of Natural Science at Aarhus University, we strive to support our scientific staff in their career development. We focus on competency development and
-
/or large genetic datasets. This may include genetic analyses, causal inference, epidemiological analyses, and clinical prediction modelling using machine learning approaches, and development
-
counselling to expat partners. Read more here . Please find more information about entering and working in Denmark here . Aarhus University also offers a Junior Researcher Development Programme targeted
-
attraction of external research funding. The successful applicant will also be expected to present plans for the development of new research projects with internal and external partners and for raising
-
to the development of the department through research of high international quality. In your daily work, you will work closely with colleagues on your project, where you will receive supervision and guidance. Your
-
As research assistant, your primary tasks are full time laboratory work and data analysis. You contribute to the development of the department through research of high international quality. In your
-
needs. An active institutional commitment to diversity, equity, and inclusion – in recruitment, career development, and everyday interactions. An innovative and meaningful workplace where your work
-
research-based teaching. You will teach and supervise students at Bachelor’s and Master’s level, and you will contribute to the development of the department through research of high international quality
-
fixed term contract for 36 months. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career
-
engineering, geoinformatics, computer science, or a related field with a focus on deep learning applied to remote sensing or geospatial data Documented experience with deep learning model development (e.g