Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Bergen
- Eindhoven University of Technology (TU/e)
- University of A Coruña
- University of Twente
- Delft University of Technology (TU Delft)
- Technical University of Munich
- University of Amsterdam (UvA)
- University of Cambridge
- University of Southern Denmark
- Aalborg University
- BI Norwegian Business School
- Delft University of Technology (TU Delft); yesterday published
- HONG KONG BAPTIST UNIVERSITY
- ISCTE - Instituto Universitário de Lisboa
- Imperial College London;
- Leiden University
- Linköping University
- Loughborough University
- Norwegian University of Life Sciences (NMBU)
- Tallinn University of Technology
- UiT The Arctic University of Norway
- Universidad de Alicante
- University of Amsterdam (UvA); Published today
- University of Basel
- University of Twente (UT)
- ;
- Aalborg Universitet
- Catholic University Eichstaett-Ingolstadt
- Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
- Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy
- Cranfield University
- Curtin University
- DAAD
- Edmund Mach Foundation
- Erasmus University Rotterdam
- FCiências.ID
- Faculdade de Ciências Sociais e Humanas
- Faculdade de Medicina da Universidade do Porto
- Foundation for Research and Technology-Hellas
- Heidelberg University
- Institute for Basic Science
- KU LEUVEN
- Monash University
- NHH Norwegian School of Economics
- NOVA Information Management School (NOVA IMS)
- Queensland University of Technology
- RAEGE-Az
- Simula UiB AS
- Susquehanna International Group
- UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA
- UNIVERSITY OF HELSINKI
- Uni Tuebingen
- Universidade de Coimbra
- University of Adelaide
- University of Bremen •
- University of Cambridge;
- University of Kent;
- University of Luxembourg
- University of Potsdam •
- University of Southern Queensland
- Università degli Studi di Trieste
- 53 more »
- « less
-
Field
-
» Algorithms Mathematics » Computational mathematics Mathematics » Mathematical logic Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 16 Feb 2026 - 22:59 (UTC) Type
-
of battery modelling and algorithm development, with a strong emphasis on the data-driven modelling and control aspects. You will contribute to shaping the technologies that underpin a more sustainable and
-
, letters of recommendation, etc). What happens next? The assessment of potential candidates is made primarily based on academic results from bachelor degree and master degree studies. Short-listed applicants
-
title: UDC-Inditex Chair of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01
-
title: UDC-Inditex Chair of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01
-
++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics
-
Information in particle physics and cosmology AI/Machine Learning Starting Date: 2025/12/05 Appl Deadline: 2026/01/05 08:59AM (posted 2025/12/04, updated 2025/12/02, listed until 2026/01/05) Position
-
. The PhD position will focus on developing a deep-learning algorithm for analyzing the acquired experimental data. The PhD position will focus on development a comprehensive and AI-driven platform
-
with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn mathematical modelling of hormone rhythm
-
-resolution wearable sensor streams, and endocrine test outcomes. Intelligent Artifact Detection: Develop cutting-edge Machine Learning algorithms to automatically identify, flag, and mitigate data artifacts