18 molecular dynamics simulation positions at AMOLF in Netherlands

Postdoc position in Biophysics: Revealing Ribosome Dynamics using Single-Molecule and AI Technology

Are you intrigued by the forefront of biophysics technology – and integration with genome-wide data and AI methods? Thanks to groundbreaking advancements, we can now show the internal dynamics

Postdoc: Single-cell Dynamics in Organoids using 3D imaging and AI Analysis

dynamics of cells that remains invisible with other techniques. You will develop AI training and inference approaches using our unique multi-parameter data-sets and extensive Machine Learning expertise

PhD-student: Single-cell Dynamics in Mammary Gland Organoids

You will use advanced AI-driven cell tracking methods to elucidate the remarkable self-organization of cells in mammary gland organoids. The mammary gland is one of the most dynamic tissues in

PhD Position in Biophysics: Chaperone-guided formation of single protein complexes

of molecular events that underlie chaperone functions, and are invisible with other methods. Here you will focus on a new frontier: how chaperones and ribosomes work together to synthesize and fold multi-protein

Postdoc: Chaperone-guided formation of single protein complexes

of molecular events that underlie chaperone functions, and are invisible with other methods. Here you will focus on a new frontier: how chaperones and ribosomes work together to synthesize and fold multi-protein

Postdoc: Pattern-driven self-organization of multi-cellular systems

these tools to generate a next level understanding of the role of shape, mechanics, spatial chemical signaling, and the dynamics of cellular proliferation, movement, and differentiation in the organization

PhD-student: Transmembrane protein mimics for communication between synthetic cells

single-molecule biophysics (Nat Commun 2021, 2023) and microfabrication (Angewandte, 2020). Qualifications You are an experimental (bio)chemist or molecular biologist with a strong interest in synthetic

PhD-student: Physical learning machines

such systems can learn. The aim of one project is to develop and analyze new methods by which diverse dynamical systems are able to learn. Our goal is to connect these ideas to real-life biological learning

PhD-student: Chiral

by prof. Wim Noorduin focuses on the dynamic interplay between chemical reactions and crystallization phenomena to control the emergence of complexity in the solid state. In particular, the group aims

Two PhD positions: Fano4nano – Fano resonance enhanced scatterometry for wafer metrology

methods. While the work will mainly focus on theory and simulation, for both projects promising Fano-resonant metasurfaces will be manufactured and measured. In project 1 you will demonstrate the limits