Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
for biomolecular systems, including prediction of protein-ligand, protein-protein, and antibody-antigen structures and affinities, and protein conformational ensembles. Design active learning algorithms and
-
, including, but not limited to, quantum error correction, quantum optics, quantum algorithms, and atomic, molecular and optical physics. There are numerous research groups at Illinois Physics and across
-
of quantum field theory, mathematical aspects of string theory, general mathematical physics or quantum algorithms and quantum software development. We stress that candidates with an excellent research track
-
sciences, who ad- dress key issues in AI such as reproducibility, safety, trustworthiness and robustness, and who engage with the theoretical and algorithmic foundations of AI. A strong commitment to
-
environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
-
, especially algorithms and computational complexity. Applied mathematics: computational mathematics, statistics and data science, physical mathematics, mathematical and computational biology, biostatistics
-
the development of fast and scalable algorithms for many-component systems, and of coarse-grained models that can be analyzed and simulated. Strong applicants with backgrounds in applied and computational
-
. Responsabilities: Investigate existing verification and validation (V&V) techniques for space systems, software and algorithms with a focus on specific challenges of space-borne perception and proximity operations
-
-body positron emission tomography (PET) with magnetic resonance imaging (MRI). In conjunction with the development of algorithms, dedicated software and hardware-based simulations will be developed
-
Biocenter PhD Programme Experience with RNA sequencing data from complex tissues (ideally including nervous system) Experience with data analyses using chronobiological algorithms (e.g. RAIN, Metacycle) High