Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
chromatography. The candidate will prepare samples for immunopeptidomics by liquid chromatography coupled with mass spectrometry tandem (LC-MS/MS), analyze large datasets, and develop scripts and machine learning
-
of work: We combine a unique methodology of recording the activity of single neurons in humans with advanced analytical approaches, such as machine learning and multidimensional analyses, to better
-
you can collaborate with other Doctoral students and postdocs working on similar topics! About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University
-
in privacy preserving machine learning (ML) within the SSF-ML-DH project, under the supervision of Olivier Cappé (CNRS, DI ENS) and Jamal Atif (Ecole Polytechnique, CMAP). Funding is available for two
-
in data science methods-including large-scale behavioral datasets, algorithmic auditing, machine learning, and reproducible data pipelines-alongside traditional research methods like surveys and
-
for employment has been made. Union Representation: This position is represented exclusively by Postdocs United/United Automobile, Aerospace and Agricultural Implement Workers of America (UAW) under the Collective
-
to density functional theory (DFT) calculations and the generation of high-quality atomistic datasets for the development of analytical bond-order potentials (ADP) and machine-learned interatomic potentials
-
is a leader in leveraging artificial intelligence, machine learning, and autonomous labs to accelerate the pace of research. The Director will provide strategic and operational leadership for ESRA’s
-
scattering and direct dark matter detection, using advanced cryogenic detectors. The MBI hosts a research group dedicated to Machine Learning in Particle Physics. Qualifications: PhD in Particle Physics
-
for a PhD Research Fellow position in fairness in artificial intelligence, available at the Department of Informatics, in the Scientific Computing and Machine Learning (SCML) research group. Starting date