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Postdoc in Machine Learning for Oligopeptide Design (1.0 FTE) (V24.0584) « Back to the overview Job description The advent of modern machine learning (ML) methodology is accelerating scientific
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. Relevant research topics are developing design solutions and evaluation criteria for seamless driver interaction with automated features at intermediate levels of automation, as well as for the interaction
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position within a Research Infrastructure? No Offer Description Passionate about nanotechnology to solve outstanding questions in synthetic biology? Join us! We're seeking a experimental postdoc to develop a
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the context of the algorithmic society? Then a postdoc position in our algosoc community is what you have been looking for! Your position and project In this project you will study how new digital technologies
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team! Gas sensing plays an important role in many fields. It is used to monitor climate change, optimise industrial control, as well as observe important chemical or biological reactions related to life
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. However, replicating this complexity remains a challenge due to current manufacturing limitations in controlling composition and fiber orientation. To address this gap, we aim to develop fundamental
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/scripting for design automation and verification. Language Proficiency: Excellent command of English (TOEFL or IELTS required if you do not have an English-taught degree). The following will make you stand
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can be finely tuned. Their behavior at surfaces and interfaces are among the most fundamental, but also most important properties of small peptides. Control over these materials can enable a new