75 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral research jobs in Netherlands
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- University of Groningen
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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
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- University of Twente (UT); Enschede
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- Eindhoven University of Technology (TU/e); Eindhoven
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- Nature Careers
- The Netherlands Cancer Institute; Amsterdam
- Universiteit van 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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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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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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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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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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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
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unexpected alternative strategy: by lining membrane pores with intrinsically disordered proteins (IDPs) to guard the gap. The best example is the nuclear pore complex (NPC), responsible for all molecular
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multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic aneurysm (AAA