Research Scientist: Predictive Modeling of Nanoplastic Impact on Protein Function
6 dagen geleden
The Universiteit van Amsterdam is a leading research institution dedicated to advancing knowledge in various fields, including computational science and chemistry.
Job Description
We are seeking a highly skilled Research Scientist to join our team and contribute to the development of a forefront computational framework for predicting nanoplastic impact on protein function. The successful candidate will be responsible for automating descriptor discovery, performing machine learning-augmented free-energy calculations, building predictive models, and applying the framework to various nanoplastics and proteins.
Required Skills and Qualifications
- An MSc degree in science, preferably in physics, engineering physics, chemistry, chemical engineering, materials science, or computational science with a specialization in natural science.
- A strong background in physics, chemistry, and/or computational science.
- Experience with molecular simulation is preferred.
- Experience with machine learning is preferred.
- Good programming skills.
- Good communication skills in oral and written English.
- Strong initiative and good time management skills.
Benefits
As a Research Scientist at the Universiteit van Amsterdam, you can expect a competitive salary range between €3000 - 4000 per month (based on 38 hours per week), depending on relevant experience. We also offer an extensive package of secondary benefits, including 8% holiday allowance, a year-end bonus of 8.3%, and multiple fringe benefits such as holiday hours, courses to follow from our Teaching and Learning Centre, a complete educational program for PhD students, and more.
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Amsterdam, Noord-Holland, Nederland Universiteit van Amsterdam VoltijdResearch PositionThis project focuses on developing and applying a forefront computational framework for predicting nanoplastic impact on protein function.You will:Automate descriptor discovery for chemical and conformational transitions of proteins interacting with nanoplastics;Perform machine learning-augmented free-energy calculations;Build predictive...
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