Sort by
Refine Your Search
-
-performing design variants Build and characterize prototype devices and correlate results with model predictions Run calibration work with documented uncertainty and reproducibility expectations Execute
-
. Nature Physics20, 970 (2024)). You will also work on expanding our coherent imaging methodology to look at dynamics and phase switching in materials at the nanoscale (Johnson et al. Nature Physics19, 215
-
biodistribution of oligonucleotide-based modalities in mouse models. Preferred but not required: Experience with toxicity studies and in vivo imaging (e.g., IVIS, bioluminescence, fluorescence). Molecular and
-
an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
-
Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
hybrid models that integrate limnological knowledge into machine learning models following the paradigm of Knowledge-Guided Machine Learning (KGML). The position is part of an on-going project
-
histology or imaging techniques. ⦁ Familiarity with R or other statistical tools for data analysis. The postdoctoral researcher and PhD-student positions are initially limited to 2 and 4 years
-
contribute to the development of a proof of concept obtained at University Côte d’Azur for accessing the content of a metabolomics knowledge graph (KG) with a large language model. It is Python prototype of a