Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- University of Antwerp
- Wageningen University & Research
- Amsterdam UMC
- Inria, the French national research institute for the digital sciences
- Maastricht University (UM)
- NTNU Norwegian University of Science and Technology
- Tilburg University
- University of Exeter
- University of Twente (UT)
- Aalborg Universitet
- Aalborg University
- Academic Europe
- Forschungszentrum Jülich
- Grenoble INP - Institute of Engineering
- Helmholtz-Zentrum Geesthacht
- KU LEUVEN
- Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V.
- Leipzig University •
- Luleå tekniska universitet
- Manchester Metropolitan University
- Monash University
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- NTNU - Norwegian University of Science and Technology
- Norwegian University of Life Sciences (NMBU)
- Politecnico di Milano
- Purdue University
- RMIT University
- SciLifeLab
- Tallinn University of Technology
- Technische Universität Dresden (TU Dresden)
- The University of Manchester
- Universidad de Alicante
- University of East Anglia
- University of Florida
- University of Groningen
- University of Texas at El Paso
- University of Warwick
- University of Warwick;
- 29 more »
- « less
-
Field
-
spectral analysis, entropy-based metrics, graph representations of cardiac conduction, and supervised, unsupervised, and deep learning approaches for classification of abnormal electrical activity within
-
movement, gaze and interaction dynamics; encoding simulated cognition using graph- and transformer-based methods; training and evaluating models on publicly available and ethically collected clinical or sub
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
for representing knowledge graphs and OWL for formalising ontologies. In order to manage the heterogeneity of knowledge, alignments between ontologies make it possible to express the relationships between concepts
-
be responsible for Setup a knowledge graph in neo4J for microbiome research Integration of microbiome research data from the project with data from literature (e.g., molecular pathways) using
-
, and EHR data. Experience with modern deep learning frameworks such as PyTorch, TensorFlow, Keras, Scikit-learn, Pandas, NumPy, and SciPy. Familiarity with convolutional neural networks (CNNs), graph
-
for analyzing how landscapes evolve over time. This thesis is part of the ANR GEvoK (Geographic Entities Evolution in Knowledge Graphs) project, which aims at automatically detecting and semantically
-
Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
for the Research Group Multidimensional Omics Data Analysis: PhD Candidate (m/f/d) You will be responsible for Setting up a knowledge graph in neo4J for microbiome research Integration of microbiome research data
-
; Build data and knowledge infrastructures, namely knowledge graphs, ontologies and multimodal representations of the CENSE scientific body; Collaborate with the CENSE team and external partners in
-
control with Git, typesetting with LaTeX, use of Linux computers; Experience with convolution and transformer-based neural networks for image analysis; Experience with graph-based methods, and graph
-
learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images; (b) Designing graph-based inference models capable of reconstructing higher-level logical blocks