Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Munich
- Cranfield University
- Nature Careers
- Technical University of Denmark
- ;
- Forschungszentrum Jülich
- University of Groningen
- DAAD
- Leibniz
- Monash University
- Curtin University
- Ghent University
- NTNU - Norwegian University of Science and Technology
- University of Southern Denmark
- Chalmers University of Technology
- Umeå University
- ; Swansea University
- University of Adelaide
- Vrije Universiteit Brussel
- ; Newcastle University
- ; Technical University of Denmark
- ; The University of Manchester
- Imperial College London
- Linköping University
- Radboud University
- University of Copenhagen
- University of Nottingham
- ; University of Bristol
- ; University of Cambridge
- ; University of Exeter
- ; University of Leeds
- ; University of Reading
- Aalborg University
- Aarhus University
- Institut Pasteur
- Leiden University
- Purdue University
- Susquehanna International Group
- Trinity College Dublin
- University of British Columbia
- University of Cambridge
- University of Southern Queensland
- University of Twente
- University of Tübingen
- Utrecht University
- Wageningen University and Research Center
- ; Brunel University London
- ; University of Birmingham
- ; University of East Anglia
- ; University of Nottingham
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- CSIRO
- Canadian Association for Neuroscience
- Copenhagen Business School , CBS
- Deutsches Elektronen-Synchrotron DESY •
- Erasmus University Rotterdam
- Harper Adams University
- Helmholtz-Zentrum Geesthacht
- Julius-Maximilians-Universität Würzburg •
- KNAW
- Lulea University of Technology
- Max Planck Institute for Biological Intelligence •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute of Biochemistry •
- Max Planck Institutes
- McGill University
- Queensland University of Technology
- Saarland University •
- SciLifeLab
- Swedish University of Agricultural Sciences
- Texas A&M University
- University of Antwerp
- University of Bergen
- University of Bern
- University of Bremen •
- University of California Davis
- University of Glasgow
- University of Lund
- University of Luxembourg
- University of Minnesota
- University of Minnesota Twin Cities
- University of Nebraska–Lincoln
- University of Oslo
- University of Potsdam •
- University of Texas at Austin
- University of Tübingen •
- Uppsala University
- Western Norway University of Applied Sciences
- 81 more »
- « less
-
Field
-
evolutionary conservation across vertebrates in terms of muscle pattern and innervation modes (1–3). The coexistence of both vulnerable and resilient muscles within the same organism provides compelling in vivo
-
the environment, including traffic conditions, travel time, and cost. The project will define the DRL components (states, actions, rewards, policies), select and implement suitable DRL algorithms, and integrate
-
represents a broad understanding of responsible innovation, drawing upon a diverse foundation of literature, such as evolutionary economics, innovationsystems, innovation management, institutional theory
-
cell biology to ecology and evolutionary biology. Our faculty perform cutting edge research in a wide array of biological sciences in the laboratory and in the field. Our graduate research programs
-
aims: Develop end-to-end protocols for screening selected foods and nutraceuticals. Create advanced strategies for data integration using tailored algorithms and machine learning approaches. Demonstrate
-
networks, making use of intelligent AI-driven control planes. The work will involve: i) (i) development of network probing algorithms for OSNR/GSNR measurement automation; (ii) development of adaptive ML and
-
for greater precision. Machine learning (ML) algorithms will analyse these datasets to deliver a scalable, cost-effective system, validated through field trials and enhanced by contributions from four
-
analytics, anomaly detection, and embedded redundancy to enhance system resilience. Students will focus on creating adaptive algorithms and hardware implementations that enable real-time diagnostics and
-
novel opportunity to automate and improve the frailty assessment process, aiming for greater consistency and predictive accuracy. Aims i) Develop a deep learning algorithm to autonomously detect and
-
values change over time and subject to which factors phylogenetic analyses of evolutionary trajectories across cultures Main supervisor will be Prof. Dr. Andrea Bender (UiB); co-supervision will be