104 machine learning scholarships in Germany

Machine learning specialist in Ecology

Temporary Position for 12 Months, starting from 01.04.2024QualificationsWe are looking for somebody with a masters or PhD degree with experience in machine learning / data science.The candidate

FAIROmics - PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game.

Job description:Title: DC13, PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the

PhD Position in Intelligent Infrastructure Systems, Machine Learning

in Computer Science or a related field Experience in software development Excellent programming skills Familiar with basics of machine learning Interest in mobility technology and/or simulations, with

MSCA Ph.D. position: Machine learning algorithms for diagnostic procedures based on imaging the shapes of single molecules or molecular complexes

frameworkslike PyTorch2) Practical experience in advanced computer vision and deep learning applications3) Knowledge of MATLAB, C/C++ and fluorescence imaging is beneficial but not mandatoryMinimum Qualification

PhD position in theoretical chemistry (machine learning potentials) at Ruhr University Bochum/Germany

machine learning potentials for supramolecular metallacages and enzymes. Efficient and accurate potentials will be developed and applied to study confinement effects in metal-containing systems, such as

PhD student (f/m/d) Chemoinformatics and machine learning

the complex food composition, which can lead to masking effects and molecular interactions in the food matrix. The applicant will work on the development of machine learning prediction models

FAIROmics - PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the design of plant-based

on knowledge representation and machine learning at scale. It is particularly interested in models with rich semantics, e.g., RDF knowledge graphs. You will be supervised by Prof. Dr. Axel Ngonga (head of group

Cambridge – Tübingen PhD Fellowships in Machine Learning

Ghahramani. Course web page . 4F10: Statistical Pattern Processing Taught by Mark Gales. Course web page . 4F13: Machine Learning Taught by Zoubin Ghahramani and Carl Rasmussen. Course web page . PREVIOUS

PhD position in the Machine Learning and Information Processing Group on DNA Data Storage Personal

08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13

Six PhD/PostDoc positions in new center for Machine Learning in Earth Observation (ML4Earth)

06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation