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Neural Networks (PINNs), Neural ODEs, Bayesian learning, and system modeling and simulation Strong background in numerical methods and machine learning Good programming skills, preferably in Python
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, pretreatment chemistry, palaeoproteomics and the Bayesian modeling of radiocarbon dates will be given, but prior experience would be an advantage We expect you to finalize your dissertation agreement within 12
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of English The position We are looking for an outstanding researcher in the area of Instructed Second Language Learning of the target language English. Teaching, course development and supervision will cover
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particular strengths in spiralian taxa. The successful candidate is expected to work on mollusks, a core target taxon of our lab for which a wide range of molecular resources and established lab protocols
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Topics (not exhaustive) Possible research areas include (but are not limited to): AI and integrated structural biology Drug discovery (e.g., RNA-targeted) Methodology development for drug design using NMR
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programmes tailored to specific target groups. You will proactively establish and maintain relationships with industry partners to create added value for our target group through collaborative programmes and
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experience. Equal opportunities for all: We welcome every additional/new personality to the team! It is that easy to apply: Letter of Motivation, targeting the specific position Curriculum vitae Abstract
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, and chemical biology in an inspiring scientific environment and a pleasant working atmosphere. A main aim of our work is the development of innovative approaches to target the role of transition metals
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traditional medicine, chemoinformatics and modern data anlysis for the targeted identification and isolation of bioactive metabolites from complex mixtures. The candidate will use analytical and chromatographic
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and organismal metabolism, the mechanistic understanding of mammalian targets of bacterial metabolites, and the role of the intestinal microbiome in host responses during infection. Experience with