Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
, Topology and Algebra Learning Experience Design Our department offers an inclusive and international working environment with state-of-the-art facilities and strong traditions for collaboration across
-
the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and other relevant areas. Additionally, the position will
-
related field. Demonstrated Expertise in one or more of the following areas: Bio and AI: Theoretical and computational biophysics Machine learning and data analysis for biological systems Biomedical imaging
-
cloning, managing repositories, branching, and implementing collaborative and reproducible data analysis workflows. Experience in applying machine learning or AI approaches to genomics data (e.g. BLUP
-
machine learning or trustworthy AI, including experience with robustness assessment and attack/defense mechanisms. Expertise in software security and code analysis, with understanding of common
-
, Electrical Engineering, Aerospace Engineering or a related field, with a focus on Robotic Perception and learning based methods Demonstrated expertise in at least one of the following areas: Machine Learning
-
Networking (SDN), and advanced machine learning approaches to ensure compliance with ISO/SAE 21434 and UNECE WP.29. Respnsibilities: Develop lightweight AI/ML models for detecting cyber threats in TSN-based
-
machine learning approaches to quantitatively analyze experimental data and predict emergent multicellular behaviors under varying mechanical and chemical environments. For more information about our lab
-
related field. The ideal candidate should have knowledge and/or experience in one or several of the following areas: Artificial Intelligence/Machine Learning algorithms and architectures Cybersecurity
-
paraganglioma driven by cell plasticity using spatial transcriptomics and machine learning.” High-risk neuroblastoma (NB) and malignant paraganglioma (PPGL) are neural crest–derived tumors with pronounced