-
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
-
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
-
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
-
. 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
-
. 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
-
designing and analyzing survey experiments is desired. Proficiency in R and Python is a plus. Willingness and ability to organize and supervise original data collection Excellent English proficiency (written
-
, 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
-
with societal stakeholders to promote more inclusive and sustainable socio-digital futures. This position is designed for qualified and motivated early-career researchers. It is initially limited