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Crea una Job Alert gratuita per postdoc in computer-aided structure-based drug design and md simulations / roma

Postdoc in computer-aided structure-based drug design and md simulations

Pubblicato il 03-10-2026 - Altro in Roma

Organisation/Company Istituto Italiano di Tecnologia Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 11 Oct 2026 - 00:00 (UTC) Country Italy Type of Contract Other Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Commitment & contract: 1-year, renewable collaboration contract
Step into a world of endless possibilities, together let's leave something for the future
At IIT, we are committed to advancing human-centered Science and Technology to address the most urgent societal challenges of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology,



empowering researchers to push the limits of knowledge and innovation. With us, your curiosity will know no bounds.
We are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment. We value the unique experiences, knowledge, backgrounds, cultures, and perspectives of our people. By embracing diversity, we believe science can achieve its fullest potential.
THE ROLE
The Molecular Modeling and Drug Discovery Research Unit is coordinated by Dr. Marco De Vivo, who has extensive experience in computational and medicinal chemistry for drug discovery.
The De Vivo lab is a multicultural and multi-disciplinary group, where you will be working in close contact with both computational and experimental researchers in medicinal chemistry, biochemistry and pharmacology.
Good candidates are scientists with expertise in computational methodologies for structure-based drug design, like molecular

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