Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Universidade de Coimbra
- CNRS
- The Ohio State University
- CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto
- DTU Electro
- University of Beira Interior
- University of Exeter
- Université de Pau et des Pays de l'Adour
- DAAD
- Eindhoven University of Technology (TU/e)
- University of Exeter;
- University of Luxembourg
- University of North Carolina at Chapel Hill
- Faculty of Sciences of the University of Porto
- Forschungszentrum Jülich
- Newcastle University
- Technical University Of Denmark
- University of California Irvine
- Università degli Studi di Brescia
- Università degli Studi di Torino
- ;
- Aarhus University
- Biomedical Center, LMU Munich
- CECS-Communication and Society Research Centre
- Heidelberg University
- Humboldt-Universität zu Berlin •
- ISCTE - Instituto Universitário de Lisboa
- Imperial College London;
- Institute for Basic Science
- Instituto Politécnico de Setúbal
- Instituto Superior de Agronomia
- KU LEUVEN
- Monash University
- NOVA.id.FCT- Associação para a Inovação de Desenvolvimento da FCT
- Nature Careers
- Radboud University
- Radix Trading LLC
- Swansea University;
- Technical University of Denmark
- Technical University of Munich
- Technische Universitaet Dresden
- University of Birmingham
- University of Cambridge
- University of East Anglia
- University of Nottingham
- University of Porto
- University of Texas Rio Grande Valley
- Utrecht University
- ADDF - Associacao para o Desenvolvimento do Departamento de Fisica
- Basque Center for Applied Mathematics
- CFM-Centro de Física de Materiales/MPC-Materials Physics Center
- CIC nanoGUNE
- CMU Portugal Program - FCT
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Conservatorio Statale di Musica "Giovanni Paisiello" di Taranto
- Curtin University
- DIFFER
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); today published
- Edmund Mach Foundation
- Eindhoven University of Technology (TU/e); 4 Oct ’25 published
- Erasmus University Rotterdam
- FCiências.ID
- Faculdade de Medicina da Universidade do Porto
- Fermilab
- Flinders University
- Fraunhofer Institute for Wind Energy Systems IWES
- Fraunhofer-Gesellschaft
- Free University of Berlin
- Freie Universität Berlin •
- German Institute for Economic Research (DIW Berlin) •
- Ghent University
- Grenoble INP - Institute of Engineering
- Helmholtz Zentrum Hereon
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Hertie AI institute for brain health / University of Tübingen
- ICN2
- IRTA
- IdiPAZ
- Imperial College London
- Institut Català de Nanociència i Nanotecnologia
- Institut Pasteur
- Institute of Biochemistry and Biophysics Polish Academy of Sciences
- Instituto Português de Oncologia do Porto Francisco Gentil (IPO Porto)
- Instituto Superior Técnico
- Instituto de Tecnología Química
- Itä-Suomen yliopisto
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- La Trobe University
- Leibniz
- Ludwig-Maximilians-Universität München •
- Massachusetts Institute of Technology (MIT)
- Multiple
- Murdoch University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nantes Université
- Newcastle University;
- Nova School of Business and Economics
- 90 more »
- « less
-
Field
-
tracking and autoencoders for amplitude and phase noise characterization Bayesian filtering Building experimental set-ups for noise characterization Reinforcement learning strategies for comb generation
-
focus on the following areas: Subspace tracking and autoencoders for amplitude and phase noise characterization Bayesian filtering Building experimental set-ups for noise characterization Reinforcement
-
of Mathematics at Radboud University (Nijmegen, Netherlands), and join the research group of Laura Scarabosio, funded by the NWO Vidi programme ’Taming Frequency in Bayesian Inverse Wave Scattering’. Inverse wave
-
the student to guide the research, but preliminary ideas include: Exploring whether suggested discharge limits derived from single organism experiments are protective of microbial communities; Using Bayesian
-
-supervised learning, and few/zero-shot techniques — the student will adapt models to ecological data. Bayesian deep learning and ensemble methods will be explored for trustworthy uncertainty estimation
-
University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
modeling, or machine learning - Experience with large-scale genomic data analysis (e.g., GWAS, QTL, PRS, or multi-omics integration) Strong programming skills in R or Python; familiarity with Bayesian
-
chemistry concepts (desirable). Familiarity with chemical or biological databases (e.g., ChEMBL, PubChem, PDB) is a plus. Experience with Bayesian modelling, transfer learning, few-shot learning, or other
-
maximum of ONE student per project. This process will ensure an excellent fit of student to project and also an excellent strategic fit of the project within the faculty. Project titles: Bayesian methods
-
Your Job: This research primarily seeks to incorporate advanced neuron models, such as those capturing dendritic computation and probabilistic Bayesian network behavior, into unconventional
-
implementing models that integrate ecological dynamics, species traits, phylogenetic trees, and economic discounting; ● Devising Bayesian or POMDP frameworks to handle uncertainty about species interactions