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: Computational biophysics, drug delivery, protein design Keywords:Computer simulations, coarse-grained model, molecular dynamics, membrane fusion, fusion protein, protein design Funding of the PhD candidate: ERC
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Supervisor: prof. RNDr. Robert Vácha, PhD. Topic title: Overcoming the Endosomal Barrier: Design Principles of Fusogenic Proteins for Lipid Vesicles Annotation: Cancer remains one of the leading causes
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Contract: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/ra/contract.html Qualifications Basic qualifications (required at time of application) PhD or equivalent international degree
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familiar with data science and machine/deep learning toolkits. Experience with model deployment and the usage of MLOps tools (Dockerization, CI/CD pipelines, edge infrastructure, etc.) is a plus. As a PhD
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for regenerative repair strategies. The successful candidate will work at the interface of tendon biology and tissue engineering, employing genetic mouse models and advanced experimental approaches. We are looking
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modelling of in-patient conditions in order to address antibiotic resistance, a problem of global importance. To reach this goal, AntiResist has assembled a panel of experts in the fields of clinical research
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5 Jan 2026 Job Information Organisation/Company Instituto de Engenharia Mecânica Research Field Engineering » Mechanical engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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matters of scientific urgency. Where to apply Website https://www.academictransfer.com/en/jobs/357678/phd-position-in-project-mechani… Requirements Specific Requirements We look for an enthusiastic
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the reference number 27697, via our online portal: Apply now via https://jobs.uksh.de/job/Kiel-PhD-%28mfd%29-Statistical-Genetics-Machine-Learning-Schl-24105/1279933701/ For more information visit: www.uksh.de
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Model. Int. J. Hydrog. Energy 2014, 39 (9), 4516–4530. https://doi.org/10.1016/j.ijhydene.2014.01.036. ; [3] Carral, C.; Mele, P. Modeling the Original and Cyclic Compression Behavior of Non-Woven