Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
to have a strong interest in data analysis, and medical research, along with relevant academic background and skills within medical image analysis and machine learning that will enable them to contribute
-
on Data Representation and Compression, which focuses on developing efficient methods for representing, processing, and reliably transmitting both classical and quantum data under strict timing constraints
-
systems, primarily electrical vapor-compression units, places significant strain on electricity grids, particularly regarding peak demand. By 2040, indoor space cooling is expected to become the second
-
more expensive, at least initially, it is of paramount importance to use them with the highest possible efficiency. Traditional Spark Ignition and Compression Ignition Internal Combustion Engines, ICE
-
embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy) to evaluate performance
-
e-fuels will be more expensive, at least initially, it is of paramount importance to use them with the highest possible efficiency. Traditional Spark Ignition and Compression Ignition Internal
-
and indexing) carrying out data collection, data management and analysis (under supervision) performing research tasks within the area of classical archaeology, e.g. literature searches and image
-
of the project is to bring about a paradigm shift in the design of switchable materials, by delving into the uncharted territory of f -element valence change (VC). The VC materials will be constructed using rigid
-
on both public transport, walking and bicycle trips focusing on the full door-to-door travel. The data sources include image data in terms of photos and videos of the urban landscape as well as in and
-
in situ cells, which can be used for operando diffraction and imaging experiments on metal-air batteries during charge/discharge. Perform detailed materials characterization of the components