Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, statistics, medicine, or a related field. This requirement must be met at the time of the employment decision. Training in statistics, data processing, and/or bioinformatics is expected. Merits We are looking
-
supplied: Application letter; Curriculum Vitae; List of publications; Contact details for two reference persons; Other documents that the candidate considers important for the hiring process. The
-
their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer science, and social
-
, computer science or similar area is required. The candidate is expected to have a profound knowledge on the majority of the following topics: For 1) Mechanical and Mechatronic Design of Continuum Surgical
-
work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. As a postdoc fellow in the AMBER programme you
-
departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
-
mathematics Appl Deadline: (posted 2025/12/11, listed until 2026/01/16) Position Description: Apply Position Description Postdoc in Algebra-Geometric Foundations of Deep Learning or Computer Vision KTH Royal
-
4 Dec 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Biological sciences Computer science Medical sciences Chemistry Researcher Profile Recognised Researcher
-
departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
-
analysis, such as analysis of genetic data using statistical software. We welcome applicants with diverse educational backgrounds, including biostatistics, computational sciences, physics, bioinformatics