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learning and signal processing approaches to classify cap types from raw signal traces. Collaborate closely with experimental researchers to guide experimental design and interpret data. Contribute
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multidisciplinary team to design and carry out experiments with infants with neurodevelopmental disorders Analyze and interpret complex behavioural and audio-visual data Dissemination of scientific results and lead
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. The researcher will work under the mentorship of Dr. Pascal Geldsetzer and receive a designation as visiting researcher at the Stanford University School of Medicine. Job-ID: V000010076 Field of application
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. The researcher will work under the mentorship of Dr. Pascal Geldsetzer and receive a designation as visiting researcher at the Stanford University School of Medicine. Job-ID: V000010072 Field of application
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aromatic nanobelts. Your profile: We are looking for experimentally skilled candidates, ideally experienced in multiple-step organic synthesis The candidate needs to have a PhD degree in Chemistry (with a
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, DNA and RNA sequencing, proteomics, single-cell, and spatial transcriptomics data. Develop and implement a scalable multi-omics analysis blueprint, combining existing tools with the development
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[max. 2 hours per week (per term/semester)]. Your profile: University degree (PhD / Dr. rer. nat. / Dr. Ing.) in the field of Physical Geography, Geoecology, Geoarchaeology, Environmental Sciences
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consortium partners Your Profile: Excellent PhD in electrical engineering, computer science, or a related field Proven track record of high-level research, demonstrated through peer-reviewed publications and
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expertise and achieve optimal results. Your Profile A PhD in Bioinformatics, Computational Biology, or a related field. Proven experience in large-scale omics data analysis, preferably MS-based proteomics
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organoid and assembloid formation can be controlled via microfluidics and how the assembloid-designs affect cell biology. The position will be embedded in the two research groups of Dr. Kai Melde