82 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions in Netherlands
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- University of Groningen
- European Space Agency
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- Delft University of Technology (TU Delft)
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- Wageningen University and Research Center
- University of Twente (UT)
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e)
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- University of Twente (UT); Enschede
- Eindhoven University of Technology (TU/e); Eindhoven
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- Maastricht University (UM); Maastricht
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- Radboud University Medical Center (Radboudumc)
- Radboud University Medical Center (Radboudumc); Nijmegen
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Amsterdam (VU); Amsterdam
- Wageningen University & Research
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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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in experimental (marine) biology/ecology and an interest in molecular ecology to investigate the prospects of using marine vegetation (e.g., seagrass) to improve the health of commercially important
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interactions. Orbit dynamics evolve over a longer timescale compared to the rapid dynamics of attitude and GNC systems. Simulating these subsystems together requires sophisticated numerical methods to maintain
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Faculty of Science Researchers and students at VU Amsterdam’s Faculty of Science tackle fundamental and complex scientific problems to help pave the way for a sustainable and healthy future. From forest fires to big data, from obesity to malnutrition, and from molecules to the moon: we cover the...
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and their potential applications in a dynamic environment with a collaborative, multi-disciplinary team. You will be the backbone of the project, supporting the activities of your team. In this role
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complex (NPC), responsible for all molecular transport in and out of the cell nucleus. These pores exhibit an intriguing selectivity where most proteins are blocked from transport, while particular
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assembly, recognition, transport, motion, and catalysis. The goal is to create new structures and functions, with an emphasis on molecular switches and motors, dynamic molecular systems, responsive materials
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profitability. Examples include optimizing production speeds to balance output, equipment deterioration, and energy consumption in manufacturing, or designing dynamic pricing and allocation policies in rental
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of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In
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applications from individuals with experience in: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques