Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
The University of Basel (Prof. Aurelien Lucchi) and IBM Research Zurich (Dr. Stefan Woerner and Dr. David Sutter) are seeking applications for a PhD position in Quantum Machine Learning
-
PhD Supervisor: Dr Alexander Wittig Supervisory Team: Dr Alexander Wittig, Dr Davide Amato (external, from Imperial) Project description: Interest in more complex dynamics of space trajectories
-
Project title: Machine Learning models for subgrid scales in turbulent reacting flows Supervisory Team: Temistocle Grenga, Ed Richardson Project description: Supervised deep convolutional neural
-
scattering and runs a specialized subgroup on machine learning (artificial intelligence and deep learning) for the analysis and prediction of experimental scattering data. Currently, there are several options
-
Phenotyping” offers a position from 01.03.2024 as PhD student (m/f/x) for development and implementation of machine learning applications and data analysis in Translational Psychiatry Kennziffer: 8740. Your
-
crystallography, in situ crystallographic studies, scientific coding and software development and machine-learning enhanced analysis and will come up with new models of how the atomic structure of layered materials
-
, companies use algorithms to design targeted marketing campaigns. Causal Machine Learning is an emerging research field that can learn the causal effect of an intervention and how it varies within a population
-
PhD student (f/m/d) Stellen-ID: 2851 Facility: Department of Data-driven Analysis of Biological Networks Contact person: Prof. Dr. Michael Wibral [email protected] 0551 39-26661
-
learning would have to provide strong justification that they would be able to complete a PhD in this field. Essential selection criteria include: Prior knowledge in computer vision and machine learning
-
position as PhD student (m/f/d) to develop and implemente machine learning applications and data analysis in Translational Psychiatry. Your group The MPIP Fellowship led by Prof. Dr. med. Falkai at the Max