Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Cranfield University
- Nature Careers
- Technical University of Munich
- CNRS
- Monash University
- University of Groningen
- Technical University of Denmark
- DAAD
- Leiden University
- University of British Columbia
- ;
- BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
- Curtin University
- Delft University of Technology (TU Delft)
- ETH Zürich
- Lincoln University
- Ludwig-Maximilians-Universität München •
- Radboud University
- University of Basel
- University of Bergen
- University of East Anglia;
- University of Luxembourg
- VIB
- Forschungszentrum Jülich
- KU LEUVEN
- Leiden University; Leiden
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of East Anglia
- University of Southern Denmark
- University of Twente
- Utrecht University
- Vrije Universiteit Brussel
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); yesterday published
- Erasmus University Rotterdam
- Friedrich Schiller University Jena •
- Goethe University Frankfurt •
- Heidelberg University
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Institute of Physics, Zagreb
- KNAW
- Leibniz
- Loughborough University;
- National Research Council Canada
- Queensland University of Technology
- Sveriges lantbruksuniversitet
- Technical University Of Denmark
- University of Adelaide
- University of Antwerp
- University of Groningen; Groningen
- University of Konstanz •
- University of Manchester
- University of Nottingham
- University of Tübingen
- University of Vienna
- University of Warwick
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- ; Aston University
- ; Newcastle University
- ; Swansea University
- ; University of East London
- ; University of Warwick
- Aalborg University
- Academic Europe
- Amsterdam UMC
- Amsterdam UMC; today published
- Ariel University
- Bath Spa University
- CISPA (Stuttgart)
- CISPA Helmholtz Center for Information Security
- Centre for Genomic Regulation
- Centro de Biotecnología y Genómica de Plantas, CBGP (UPM-INIA)
- Chalmers Tekniska Högskola
- Chalmers University of Technology
- DTU Electro
- Delft University of Technology
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 16 Oct ’25 published
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); today published
- Durham University;
- ETHZ & University of Zurich
- Eindhoven University of Technology (TU/e)
- Flinders University
- Freie Universität Berlin •
- Friedrich-Alexander-University Erlangen-Nürnberg
- Fundación IMDEA Nanociencia
- GFZ Helmholtz Centre for Geosciences
- Ghent University
- Helmholtz-Zentrum Geesthacht
- Humboldt-Universität zu Berlin •
- Institute of Plant Genetics PAS
- Institute of Science and Technology Austria (ISTA)
- Instituto Superior de Agronomia
- Intercollegiate Faculty of Biotechnology UG&MUG (Dean)
- International PhD Programme (IPP) Mainz
- J. Heyrovský Institute of Physical Chemistry of the CAS, v. v. i.
- 90 more »
- « less
-
Field
-
identifying and analyzing patterns. Indeed, while the success of deep learning on visual data is undeniable, applications are often limited to the supervised learning scenario where the algorithm tries to infer
-
more information for a given experimental budget. Efficient active learning depends on the careful co-design of experiments and inference algorithms. You will explore topics such as how to elicit
-
and as part of a team Understanding of dynamical systems, time series models, machine learning, Bayesian statistics, experience in handling environmental and climate data is a merit We offer: This
-
processes related to carbon cycling in the soil-plant system Experience with Bayesian inference and machine learning is an asset Ability to work independently and cooperatively as part of an interdisciplinary
-
and subsequently exposed to Bayesian optimization to find the optimal set of parameters that improve process performance and material quality. Secondly, different machine learning strategies based
-
) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
-
health. You will develop and apply cutting-edge machine-learning techniques to identify the most informative indicators of ecosystem change and use them to build dynamic Bayesian network (DBN) ecosystem
-
behaviour using computational approaches such as Bayesian program synthesis and inverse reinforcement learning. Investigate the diversity of motor commands that could implement observed behaviours and explore
-
to avoid sources of bias such as the target trial approach (www.bips-institut.de/en/research/cross-departmental-working-groups/working-group-gepard-target-trials-for-causal-inference-gettcausal.html ) and
-
studying k-space (Fourier domain of the image in which the acquisition is performed) samples from over the entire time series, a neural-implicit representation can infer what the full k-space should look