Sort by
Refine Your Search
-
the standardization and harmonization of data across platforms. Work with large language models (LLM) and deep learning algorithms to drive the inverse design of materials and uncover new physical and chemical
-
2.0 or better) Very good experimental skills are essential Experience with AirCores, GC systems, Balloon observations are desirable Solid programming skills (e.g. Python) for data analysis are helpful
-
) for scientific and large-scale datasets Implement parallel ML training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks
-
Your Job: Transient photoluminescence measurements of halide perovskite films, layer stacks and devices Simulations of transient photoluminescence and generation of training data Training of neural
-
Your Job: Analysis and integration of diverse biological data from the field of plant sciences (large scale genomic, transcriptomic, proteomic, metabolomic and/or single cell data) using cutting
-
working hours, the option of slightly reduced working hours, and 30 days of annual leave A large research campus with green spaces, offering the best possible means for networking with colleagues and
-
The doctoral degree will be awarded by the Heinrich Heine University, Düsseldorf Outstanding scientific and technical infrastructure – ideal conditions for successfully completing a doctoral degree Information
-
high throughput setup for characterization of various electrocatalytic reactions Benchmarking state-of-the-art materials and components, electrochemical characterisation and evaluation of large material
-
the complete chain from materials properties to process design and evaluation. More information on the project can be found here: This specific project (DC7) addresses membrane adsorbers, which have small
-
PhD Position - Modeling and simulation of memristive devices for application in neuromorphic systems
large research campus with green spaces, offering the best possible means for networking with colleagues and pursuing sports alongside work Further development of your personal strengths, e.g. through