62 post-doc-image-processing PhD scholarships at Technical University of Munich in Germany
Sort by
Refine Your Search
-
). Application Procedure Please send your motivation letter, CV, and transcripts of records to Prof. Florian Matthes at matthes@tum.de . Important Notes Severely disabled persons are given preference in the case
-
clinical use-cases for benchmarking existing state-of-the-art (SOTA) Federated Learning algorithms. This includes running a few pre-processing pipelines. Develop SOTA FL algorithms that tackle data
-
(SOTA) Federated Learning algorithms. This includes running a few pre-processing pipelines. Develop SOTA algorithms in Robustness against data and model poisoning attacks. Develop SOTA algorithms in
-
• Eukaryotic cell culture and transfection of cell lines • Handling and experimental use of organoid models (provided by a partner institute), including adaptation for biophysical assays and imaging
-
development in distributed multicultural teams At least intermediate German speaking and writing skills Advanced English speaking and writing skills Application procedure Please, send your motivation letter, CV
-
, using techniques such as: High-dimensional data mining Tensor decomposition Causal inference Statistical process modeling Machine Learning Applications include public transport, private vehicles, traffic
-
on mountain forest dynamics, and how these can be moni-tored from remote sensing data. Specifically, tasks include: Processing and analysis of remote sensing data Combining remote sensing and field data
-
08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
-
improve industrial processes by establishing a thorough understanding of the materials at different length- and time scales. Your project Milk protein concentrates (MPC) are dairy proteins which
-
all over Germany join forces to integrate a thermodynamic description into the processes understanding of soil systems and gain insights into how energy and matter fluxes drive organic carbon dynamics