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for pharmaceutical and biotechnological use. The ideal candidate profile: Must-have: PhD in the fields of biophysics, soft matter physics, physical chemistry, computational chemistry, statistical mechanics, or related
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physics, physical chemistry, computational chemistry, statistical mechanics, or related fields Experience with molecular dynamics simulations (with GROMACS, OPENMM, LAMMPS, NAMD, AMBER, etc
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for pharmaceutical and biotechnological use. The ideal candidate profile: Must-have: MSc degree in the fields of biophysics, soft matter physics, physical chemistry, computational chemistry, statistical mechanics
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matter physics, physical chemistry, computational chemistry, statistical mechanics, or related fields Good English language – spoken and written Nice-to-have: Experience with molecular dynamics simulations
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process is based on the Open Transparent Merit-based Recruitment Policy. Faculty of Informatics holds the HR Excellence in Research Award. The rules of the selection processes at FI MU can be found
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profile: Must-have: MSc or equivalent degree in computational simulations and related fields Theoretical knowledge of Molecular Dynamics and/or Monte Carlo Good English language – spoken and written Nice
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degree in Theory and History of Film and Audiovisual Culture (or similar - a prerequisite), Completion of a doctoral programme (Ph.D.) in film studies, active knowledge of the English language (minimum
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and biosensors for pharmaceutical and biotechnological use. The ideal candidate profile: Must-have: MSc degree in the fields of biophysics, soft matter physics, physical chemistry, computational
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profile: Must-have: PhD in computational simulations and related fields Theoretical knowledge of Molecular Dynamics and free energy calculations Some years of work experience in simulations with proteins
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Department: Department of Machine Learning and Data Processing – Faculty of Informatics Deadline: 14 Jul 2025 Start date: preffered September 2025 / by mutual agreement Job type: full-time Job