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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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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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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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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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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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at the beginning and end of the advertisement. Your application must include the following documents: cover letter, structured CV, A plan for the development of the department for the next 3 years in the following
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the following documents: cover letter, structured CV, A plan for the development of the department for the next 3 years in the following areas: teaching, research, personnel management, overview of scientific and
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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