Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
varieties arising from zero-mutable Laurent polynomials. Prior experience in any of these areas as well as an interest in combinatorial and computational methods is welcome, but not required. What we offer
-
therapeutics by protein design. This project will apply cutting-edge generative AI methods—including protein design, structure–function prediction, and multimodal learning—to develop and optimize a new
-
, processor/system simulators (Gem5, NVSim), SystemC, HLS tools, abstractions and intermediate representations, Programming models, MLIR, LLVM, experience in code optimization, programming expertise in C, C
-
at the Medical Faculty You develop and optimize innovative LC-MS and GC-MS methods for the analysis of diverse biological matrices, including human samples You act as a scientific contact person for our users
-
are being developed that provide AI-supported tools to identify suitable sources and optimize utilization decisions throughout the product life cycle. Various machine learning approaches are to be used
-
find solutions that optimally promote their abilities. The same applies if they do not meet all profile requirements due to a disability. Interested?Then we look forward to receiving your application and
-
find solutions that optimally promote their abilities. The same applies if they do not meet all profile requirements due to a disability. Interested?Then we look forward to receiving your application and
-
and optimizing the execution User support in the field of large-scale AI Diving deep into technical aspects of efficiency, parallelization, and benchmarking Engaging in national and international ML/DL
-
superstructures. Optimize NPL ligand shell structure in collaboration with TU Dresden to improve optical performance of NPL superstructures. Extend existing single-particle photophysical models of NPLs
-
Build and optimize workflows for analyzing biodiversity and entomological texts, focusing on functional traits, historical context, and geographic scope relevant to current environmental challenges