Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
80%-100%, Zurich, fixed-term We are looking for a Geospatial Deep Learning Scientist with a methodological focus on AI/deep learning to join our ambitious SEED team in the Crowther Lab and help
-
physiological sensing systems (e.g., PPG, ECG, EOG, ...) bonus: ML-based signal processing (deep learning on time series) Application documents to be submitted a PDF showing your projects that are most relevant
-
for sintering/consolidation will be key aspects to optimize. Successful project execution will particularly rely on the candidate’s deep understanding of dispersion/colloid-based processes and related organic
-
on the candidate’s deep understanding of dispersion/colloid-based processes and related organic/inorganic chemistry. Close coordination and cooperation with internal and external project partners and a sound degree of
-
learning, deep learning, and topological optimization. Highly motivated, self-driven, and shows excellent performance Strong analytical, mathematical, and algorithmic capabilities Understanding and
-
experiments workflows in areas such as simulation, classification, or anomaly detection using machine learning and deep learning methods, exploring, in particular the performance of Quantum Computing
-
stakeholders, and will contribute to the successful completion of the above-mentioned scope. List of the main tasks: Acquire a deep understanding of the scope of the project and of CERN's electrical network
-
characterisation of diagnostic and therapeutic tracers Tumour imaging, clinical oncology and data analysis Semiconductor detectors, nuclear physics and Monte Carlo simulation Machine learning, deep learning and
-
characterisation of diagnostic and therapeutic tracers Tumour imaging, clinical oncology and data analysis Semiconductor detectors, nuclear physics and Monte Carlo simulation Machine learning, deep learning and
-
Requirements - Master's degree in Computer Science with very good marks (obtained or close to be obtained) - Deep knowledge and interest in advancing applications of distributed information systems to solve