41 phd-dynamical-systems-"https:"-"ESPCI-Paris---PSL" Postdoctoral positions in Netherlands
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- Eindhoven University of Technology (TU/e)
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provides opportunities to strengthen your academic profile through (co-) supervision of PhD, MSc, and BSc students, as well as teaching (if desired). Especially attractive is the opportunity to collaborate
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discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD. A PhD in an engineering domain and solid knowledge of space systems are required for this position
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programmes; co-organizing expert meetings; helping to design nature retreats for media professionals. This is what we ask of you PhD in a relevant field; Expertise in research on investigative journalism
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7 Mar 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Informatics Computer science » Programming Engineering » Materials
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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interest in learning, adaptation, and dynamical systems in physical contexts Experience with analytical and\or computational modeling. Proficiency in numerical methods and coding (Python, JAX, MATLAB
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bring Candidates are expected to have: A recent (or soon to be completed) PhD in Political Science or Conflict Studies, with a strong focus on conflict dynamics in the Sahel (PhD must have been completed
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to applications submitted by candidates within five years of receiving their PhD. In particular for this position, the following is required: PhD in control engineering, preferably applied to space systems AOCS
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skills, preferably in C/C++. Ability to conduct high quality academic research, reflected in demonstrable outputs. A team player who enjoys coaching PhD and Master's students and working in a dynamic
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decision-making in dynamic or high-risk scenarios where ground truth is limited or unavailable? How will the integration of multi-sensor EO data and real-time environmental signals increase the accuracy