Sort by
Refine Your Search
-
Neural Networks (PINNs), Neural ODEs, Bayesian learning, and system modeling and simulation Strong background in numerical methods and machine learning Good programming skills, preferably in Python
-
chemistry, palaeoproteomics and the Bayesian modeling of radiocarbon dates will be given, but prior experience would be an advantage We expect you to finalize your dissertation agreement within 12-18 months
-
, pretreatment chemistry, palaeoproteomics and the Bayesian modeling of radiocarbon dates will be given, but prior experience would be an advantage We expect you to finalize your dissertation agreement within 12
-
VwGr. B1 Grundstufe (praedoc) Limited contract until: 31.12.2029 Job ID: 4957 “How does a quantum object gravitate?”, “How far can we push massive objects into the quantum regime?”, “How well can we
-
the pathways of modern human dispersals from Africa into Eurasia, and ultimately to Sahul, by ~60,000 years ago. One of the project's principal objectives is the discovery and analysis of new modern human
-
the topic, objectives, methodological approach, and key findings. Additionally, the table of contents of the thesis and the evaluation report with the grade should be included. Please also include a research
-
and a bibliography). The proposal should present the topic, objectives, and relevance of the planned work, identify the existing research gap, and outline the current state of research with reference
-
particular, our objective is to contribute to a better understanding of how consumers respond to major societal challenges, including the current economic development, the demand for sustainable and healthy
-
aims to develop a family of self-assembly modules undergoing chalcogen-bonding-mediated recognition. The project objective is to develop highly selective multipoint recognition motifs that can be used
-
tissue. The overarching objective is to implement advanced image analysis pipelines pushing bio-imaging towards multiplexed/ multimodal high-resolution imaging. Your future tasks: You actively participate