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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
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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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postdoctoral candidates with background in social psychology, cognitive science, or social neuroscience to join a highly interdisciplinary project on the computational model of religious decision-making
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peptides, including the design of de novo sequences based on the elucidated mechanism. The first step will be to develop a computational approach to determine the critical peptide properties required
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functional analyses using advanced biophysical techniques Perform in-depth data analysis with state-of-the-art computational tools Take an active role in experimental design, execution, and data interpretation
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computational simulations and related fields Theoretical knowledge of Molecular Dynamics and free energy calculations Some years of work experience in simulations with proteins/membranes and their analysis
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REQUEST Professional education, qualifications and experience Ph.D. – Doctoral Degree Programme completed in history or art history within 7 years prior to the onboarding – a condition professional focus on