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contract – 2 years Candidates must hold a PhD, in Industrial Ecology, Process Engineering or Mining Engineering, with demonstrated link/application to the mineral raw materials sector. The candidates should
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other software tools Develop, test and implement data pipelines Required Knowledge, Skills, and Abilities: Required PhD in geosciences, computer science, engineering or related field Proven research
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science » Informatics Engineering » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Portugal Application Deadline 21 Jan 2026 - 23:00 (Europe/Lisbon) Type of Contract Not Applicable
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Programming competencies in MATLAB or Python Experience in using practical coastal engineering models such as MIKE, Delft3D, XBeach and SWASH As a formal qualification, you must hold a PhD degree (or equivalent
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perturbation modelling. The ideal applicant brings not only strong technical skills, but also interdisciplinary knowledge on the subject. More precisely: PhD degree in computer science, machine learning
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, United States of America [map ] Subject Areas: Engineering / Materials Science and Engineering , Mechanical , Mechanical Engineering Appl Deadline: 2026/01/28 11:59PM ** (posted 2026/01/21, listed until 2026/01/28
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PhD degree. The application deadline is on the 20.02.2026 , 12:00 noon Applications should be sent to rekrutacja@ichf.edu.pl . IMPORTANT! email subject: “Recruitment no 3/2026 ” (emails without
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-disciplinary team with many stakeholders. In addition you have: An MSc and PhD in Geosciences, Environmental Science or Engineering, with a focus on Soil Physics, Geotechnical Engineering, or Geophysics; You
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) in the School of Electrical Engineering at Aalto University explores synergies
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comments Mentor: Jan Mikeš, Faculty of Electrical Engineering, Mikes.jan@fel.cvut.cz , https://leee.fel.cvut.cz/AboutUs.html#content5-v https://leee.fel.cvut.cz/Projects.html#content8-17 ORCID 0000-0003-2219