Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Aveiro
- Brookhaven National Laboratory
- Brookhaven Lab
- University of Minho
- CNRS
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- Princeton University
- University of North Carolina at Chapel Hill
- Indiana University
- SUNY Polytechnic Institute
- Stanford University
- Texas A&M University
- UNIVERSITY OF HELSINKI
- Universidade de Aveiro
- University of California Irvine
- FAPESP - São Paulo Research Foundation
- Instituto Politécnico de Bragança
- Lunds universitet
- National Aeronautics and Space Administration (NASA)
- Rutgers University
- University of Florida
- University of Oxford
- Argonne
- Durham University
- Emory University
- George Washington University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- KINGS COLLEGE LONDON
- King's College London
- Mediterranean Institute of Oceanography
- NEW YORK UNIVERSITY ABU DHABI
- Rice University
- Technical University of Denmark
- Texas A&M AgriLife
- The Ohio State University
- The University of Arizona
- Universidade do Minho
- Universidade do Minho - ISISE
- University College Cork
- University of Oslo
- Université de Strasbourg
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- ;
- Aalborg University
- Aix-Marseille Université
- Argonne National Laboratory
- Austrian Academy of Sciences, The Human Resource Department
- Aveiro University
- BRGM
- Baylor College of Medicine
- CIDMA
- CUNY Graduate Center
- Carl von Ossietzky Universität Oldenburg
- Case Western Reserve University
- Central State University
- Duke University
- ERATOSTHENES CENTRE OF EXCELLENCE
- Forschungszentrum Jülich
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Ghent University
- Giga Institute
- Heidelberg University
- ICN2
- IMT - Atlantique
- INSA Rennes
- INSA Strasbourg
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Inria, the French national research institute for the digital sciences
- Institut of Mathematics of Marseille
- Institute of Chemical Research of Catalonia ICIQ
- Instituto Superior de Agronomia
- Johns Hopkins University
- KNAW
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- Leibniz
- Leiden University Medical Center (LUMC)
- Linnaeus University
- Linneuniversitetet
- Loyola University
- MASARYK UNIVERSITY
- MUNSTER TECHNOLOGICAL UNIVERSITY
- Max Planck Institute for Astrophysics, Garching
- Max Planck Institute for Evolutionary Biology, Plön
- Medical University of Lublin
- Mississippi State University
- Missouri University of Science and Technology
- NSF-Simons Foundation-funded National AI Institute for the Sky
- New Jersey Institute of Technology
- New York University
- Norwegian University of Life Sciences (NMBU)
- Queen Mary University of London;
- S2AQUA – Collaborative Laboratory, Association for a Sustainable and Smart Aquaculture
- Scion
- Sveriges Lantbruksuniversitet
- Swansea University
- UNIVERSITY OF VIENNA
- Universidade de Coimbra
- 90 more »
- « less
-
Field
-
Position Details Position Details Job Title Postdoctoral Researcher in Evolutionary Time Series Position Number 8102303 Job Category University Staff Job Type Full-Time FLSA Status Exempt Campus
-
, and nonlinear physics. Experience with complex data analysis techniques, particularly time series. Experience in inference and information theory. Additional Information Benefits Contract remuneration
-
foundation models for synthetic data generation: Time Series Foundation Models, Variational Autoencoders, Generative Adversarial Networks, and Large Language Models (LLMs, TSFMs, VAEs, GANs). Design
-
, cDNA, or DNA). Familiarity with machine learning, particularly in biological data contexts. Skills in signal processing, particularly time-series or nanopore signal data. Experience working in
-
years) in high energy physics, or a related field Experience with applying unsupervised ML algorithms such as autoencoders, clustering, to time-series data is preferred Experience with the data from HEP
-
fine tuning techniques for LLMs. Experience with time-series data, anomaly detection, or predictive maintenance is a strong plus. Familiarity with industrial datasets and domain-specific challenges is
-
Python, R, or MATLAB. Solid understanding of battery systems, electrochemical processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly
-
High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time-series modeling, and clustering algorithms
-
Paulo Research Foundation, exhibits a strong interdisciplinary character, with activities involving remote sensing, artificial intelligence, and the use of sensors for real-time irrigation monitoring and
-
electrochemically characterise a series of metalloenzymes as the central target of the last WP3 of the ERC project. The postdoc will have to also work on electrode chemical modifications and be able to work