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with a PhD in Human-Computer Interaction, Remote Sensing, Geo-Information Science, Cognitive Science, or a closely related field. The ideal applicant possesses a strong technical foundation, as
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PhD degree in Chemistry, Material Science or related filed. Solid knowledge and demonstrated skills in polymers chemistry are essential; expertise in physical organic chemistry, coatings and formulation
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particular for this position, the following is required: PhD in engineering or physics, preferably with a focus on the development of thermal fluid-structure interaction mathematical models. A thesis topic
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completed, or be close to completion of a PhD in a related technical or scientific discipline. Preference will be given to applications submitted by candidates within five years of receiving their PhD
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develop a simplified model focusing on the leader stage. You will: Analyze experimental data and microscopic simulations Identify relevant physical features and parameters Apply machine learning techniques
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dynamical systems. The position is part of the research project “A Rigorous Framework for Transient Random Dynamics”, funded by the Dutch Research Council (NWO). You will be part of a team with a PhD student
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their PhD before January 2026 are also encouraged to apply. Applicants should demonstrate proficiency in programming languages and tools commonly used in computer science. Hands-on experience with genetic
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of mechanical and physical properties of thin carbon/boron-nitride nanotube (CNT/BNNT) films. The goal of the project is to calibrate an existing numerical model and reproduce the realistic mechanical properties
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Duijnhoven , which currently consists of 6 PhD students and 2 postdocs. Within the NWO-project, you will closely collaborate with the postdoc and Principal Investigator (Prof. dr. Riccardo Fodde) at Erasmus MC
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scientist who likes to work with and/or develop new spectroscopic instruments? And do you hold a PhD degree in physics (photonics), electrical engineering or a related field? Would you like to be involved in