Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- University of Southern Denmark
- Aarhus University
- Technical University of Denmark
- Linköping University
- Nencki Institute of Experimental Biology
- SciLifeLab
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- Grenoble INP - Institute of Engineering
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- ICN2
- Institut Pasteur
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Karolinska Institutet (KI)
- Lunds universitet
- Technical University of Munich
- University of Amsterdam (UvA)
- Université de Bordeaux / University of Bordeaux
- Wageningen University & Research
- Aalborg Universitet
- CNRS
- European Space Agency
- Forschungszentrum Jülich
- Free University of Berlin
- George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș
- Ghent University
- IFM/Linköping University
- Institut Català de Nanociència i Nanotecnologia
- Institut Jacques Monod, CNRS UMR 7592
- Instituto Superior Técnico
- Iowa State University
- Istituto Italiano di Tecnologia
- Leibniz
- Loyola University
- Luxembourg Institute of Science and Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Maj Institute of Pharmacology Polish Academy of Sciences
- SLU
- Sveriges Lantbruksuniversitet
- The Ohio State University
- Universidade Estadual Paulista (UNESP)
- Universidade do Minho
- University of Copenhagen
- University of North Carolina at Chapel Hill
- University of Turku
- Université Savoie Mont Blanc
- Uppsala universitet
- Utrecht University
- 39 more »
- « less
-
Field
-
-trained tool on other image sensors and at different mountain sites presents difficulties. Specifically, generalizing a model trained on a specific site to other sites with different environmental
-
. Individuals getting stuck in their grief often experience different types of intrusive imagery—both positive (e.g., memories of cherished moments with the deceased) and negative (e.g., images related
-
microscopy datasets now capture millions of single-cell images across diverse perturbations, but differences in imaging protocols, marker panels, and cell types limit their integration and reuse. A key
-
, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
-
temperature imaging by MRI, the only medical modality allowing non-invasive brain temperature mapping. The objectives of the postdoc are twofold with: Develop a dedicated MRI methodology in vitro and then in
-
We are seeking applicants for a 2-year postdoc in Ultrafast X-ray probes of Quantum Materials to join us at the Department of Physics and Astronomy. Starting Date and Period The position is for 2
-
; Skills: brain surgery and behavioral tests on rodents, or advanced image and data analysis; Experience in iDISCO brain clearing, light sheet microscopy and data analysis, miniendoscopes application in a
-
programming skills for image processing, image analysis and/or hardware control. You are eager to learn, can work independently and have a creative and solution-driven mindset You have an excellent track record
-
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
-
entrainment, physicochemical processes, and interactions between ice sheets and their beds. Recent advances in LA-ICP-MS now enable the spatially resolved analysis of major and trace elements at the scale