41 postdoctoral-image-processing-in-computer-science-"Multiple" Postdoctoral positions at Leibniz
Sort by
Refine Your Search
-
repairing damaged extracellular matrix and initiating cartilage healing. We combine our expertise in light-driven chemistry, protein chemistry, tissue engineering, and process engineering to develop a
-
willingness to carry out science related to the novel IOW research programme 2024-2033 are mandatory. In particular, you will work with Research Area 2.4 and 3.1. Important selection criteria are: Strong
-
and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have
-
. The Climate Economics and Policy Department of PIK, located at EUREF Campus in Berlin-Schöneberg, is offering a Postdoc position in “Economics“ (m/f/d) on mechanism design for global public good provision
-
the Research Group “ Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is assigned to the research project "Randomization of Surrogates
-
opportunities Requirements: Ph.D. in Biology, Physics, Computer Science, or a related field with prior expertise in: Genomics, population genetics, and evolutionary biology Sequence alignment and next-generation
-
on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
-
guided by the values of open science. In addition, ZPID is currently establishing research groups in meta-science and science acceptance. Join the growing ZPID team! Current opening: Postdoctoral
-
is seeking a qualified junior researcher or postdoctoral scientist responsible for the estimation of future fire risk with the use of the updated SPITFIRE model, based on future projections of
-
pathways for the required paradigm shift to sustainability. This position focuses on the initial work package in the project, to conduct statistical topic modelling on policy documents, ideally across