Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Postdoctoral Fellow in innate immunity Employer: Mount Sinai School of Medicine Research lab: Teunissen lab Institute Biomedical Engineering and Imaging Institute PI: Dr. Abraham Teunissen Location
-
following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
-
: Solid experience in experimental ultrasound imaging Solid experience with ultrasound sequence programming Solid experience with ultrasound image reconstruction and signal processing Desirable skill
-
George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 13 days ago
-9789, https://doi.org/10.1016/j.promfg.2020.05.100 . Waad Q. Shiaa, Amjad B. Abdulghafour; Omar H. Hassoon. 3D reconstruction from CT images utilizing the open-source tool, AIP Conf. Proc. 2024, 3079
-
Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 days ago
differences in cancers. The method is used to identify cancer clones in melanoma cases and support clinical decisions with deep molecular analysis of the detected tumor clones. The postdoc (f/m/x) will build
-
Chemical Biological Centre (https://www.umu.se/en/kbc ) at Umeå University and is affiliated with the national Centre of Excellence – Umeå Centre for Microbial Research (UCMR) (https://www.umu.se/en/ucmr
-
selection process. To apply for the CTU Global Postdoc Fellowship you need the following documents in English: CV, including a list of publications (max. 4 pages). At least three Impact Factor journal
-
, quantitative image analysis) Computational skills in data processing and statistical analysis; experience with sc/snRNA-seq, NGS, metabolomics, proteomics datasets (R/Python) is highly desirable Demonstrated
-
mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time-lapse data Proven programming expertise in
-
Research Centre (CRC) 1450 “inSight – Multiscale imaging of organ-specific inflammation” (https://www.uni-muenster.de/CRC-inSight) The project is based in the research group of Prof. Dr. Kerstin Steinbrink