34 machine-learning-phd "St" PhD scholarships

PhD Studentship: Machine Learning for Spatial Transcriptomics Analysis in Human Cancers: Tackling Limited Data Challenges

machine-learning techniques in ST studies. Our approach introduces two innovations: developing sparse Bayesian learning algorithms for efficient small dataset analysis and designing a simulator for

PhD student in Bioinformatics

when it develops protection upon vaccination. This will require further developments of machine learning methods of the transparent type.  The PhD student is expected to be involved both in building

PhD contract: characterization of volcanic processes using continuous seismic data analysis and machine learning (M/F)

: - Apply unsupervised machine learning concepts to the analysis of continuous seismograms recorded in the vicinity of active volcanoes, in order to extract information about the state of the volcano and the

PhD student in AI for Drug development

strong programming ability is essential. Please share your git in the application. There will be a strong focus on developing machine learning tools and novel molecular representations. The tools developed

(M/F) PhD offer : Automatic prediction of intonation from speech gestures

machine learning, speech science, cognition and behavioural studies. If all disciplines are addressed in this PhD position, candidates without expertise in some of the areas listed below are nevertheless

PhD Scholarship in Weakly-Supervised Machine Learning for Medical Image Analysis

Turing University Network) and the CitAI Research Centre (which features academic staff with extensive expertise in machine learning for healthcare). They will also be able to exploit the power of Hyperion

PhD (M/F) on the ecosystem of open science

, particularly Python and ML libraries, and use of remote calculation servers. Knowledge of informational, library and archival issues in the digital age and/or mastery of traditional machine learning tools

PhD student in structure-based drug design with focus on machine learning (DDLS Research School)

membrane proteins involved in numerous physiological processes. By leveraging machine-learning enhanced virtual screening, the PhD student will be able to perform searches for ligands in chemical libraries

PhD student in structure-based drug design with focus on machine learning

large family of membrane proteins involved in numerous physiological processes. By leveraging machine-learning enhanced virtual screening, the PhD student will be able to perform searches for ligands in

PhD Position F/M -- Campagne Doctorant -- Explainable Deep Learning

, including expertise with frameworks such as PyTorch. - Advanced knowledge in Machine Learning and Pattern Recognition. - Expertise in BioMedical Image Analysis. - Strong foundation in applied mathematics and