Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Applications are invited for a postdoctoral position in the group of Dr Aleksandr Gavrin ( https://mbg.au.dk/a-gavrin/ ) at the Department of Molecular Biology and Genetics, Aarhus University
-
exploring multi-functional and sustainable polymers for additive manufacturing in robotics. SUME (https://www.vubtechtransfer.be/sustainable-materials-technology ), is the sustainable materials engineering
-
principles. A core part of the NTO’s mission is to develop open data and computational resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross
-
is available here: https://acrobat.adobe.com/id/urn:aaid:sc:VA6C2:b74beba8-716f-4ab4-b791-2fb6c087ca7f Job Requirements REQUIRED: Ph.D. in neuroscience, biomedical engineering, chemical engineering
-
vision-based platforms. You will work at Forschungszentrum Jülich, in close collaboration with bioimage analysis partners at Karlsruhe Institute of Technology. Your tasks in detail: Develop and extend deep
-
General Summary of the Position Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865 ). The Zhou Lab at UMass Chan Medical
-
performing numerical simulations using in-house scientific softwares. In-depth knowledge of materials science or crystallography is not required. Website for additional job details https://emploi.cnrs.fr
-
of engineering practices and principles. Designs, operates, maintains, and repairs specialized equipment and engineered systems utilizing engineering practices and principles. Advises faculty, postdocs, students
-
Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
resistant and susceptible plants. Develop an AI-assisted image-based phenotyping pipeline to automatically quantify aphid performances on the plants. This software will automatically count for aphids and
-
resistant and susceptible plants. Develop an AI-assisted image-based phenotyping pipeline to automatically quantify aphid performances on the plants. This software will automatically count for aphids and