Sort by
Refine Your Search
-
of the hydrogen economy will also be part of your work. Further development of the detection concept for green hydrogen, particularly green hydrogen carriers Development and implementation of analytical methods in
-
processes related to carbon cycling in the soil-plant system Experience with Bayesian inference and machine learning is an asset Ability to work independently and cooperatively as part of an interdisciplinary
-
table on page 66 of the PDF download) PERSPECTIVE: The position is initially for a fixed term of 3 years but with the prospect of longer-term employment. Let`s use this time to find out how well we fit
-
for a fixed term of 3 years but with the prospect of longer-term employment. Let`s use this time to find out how well we fit together Further information on doctoral degrees at Forschungszentrum Jülich
-
scientists on, e.g.: Developing self-supervised learning frameworks to extract features from unlabeled high-resolution microscopy data Training and evaluating segmentation models for detecting and
-
PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
real-time analysis of electrochemical processes, developed in the Department of Electrocatalysis, will be applied by You to discover and develop novel Organic Electrosynthetic Protocols. Your tasks
-
features from unlabeled high-resolution microscopy data Training and evaluating segmentation models for detecting and characterizing defects such as dislocations Applying generative models (e.g., GANs
-
of functional materials to find an optimal structure on a small scale from the micrometer to the nanometer. The materials and systems examined play an essential role in sustainable technologies such as water and
-
Your Job: The main objective of this PhD project is to achieve a better understanding of the efficient propulsion of trypanosomes through complex crowded environments, mimicking biological tissues
-
have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You are confident in object-oriented programming