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the possibility of extension) Contract:TV-L Your Tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 15 days ago
function using functional MRI or ultrasound imaging. The Max Planck Institute for Biological Cybernetics conducts research that elucidates neurological processes across various organizational scales via
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) | Institute of Molecular Oncology and Functional Genomics Our research is focused on gene discovery, functional gene annotation and signaling in cancer. We study biological processes, such as malignant
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converted into electrical signals. We identify and characterize the molecular components involved in this transduction process using state-of-the-art molecular biology, electrophysiology, and biophysical
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law for our processing of your application data. Further information about the legal bases and the use of your data can be found here . Applications should comprise a cover letter, CV, and a max. three
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) will not be reimbursed by the state of Mecklenburg-Vorpommern. Please note that by submitting your application, you provide your consent pursuant to data protection law for our processing of your
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focuses on molecular and biophysical mechanisms of presynaptic plasticity, in particular how the Rab-GTPase regulator Blobby and aPKC/Par-1 kinase signaling jointly control the organization and remodeling
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
of analogue and digital circuit technology and digital signal processing Knowledge of magnetic sensors, in particular magnetoresistive sensors is an advantage Knowledge of magnetic flux leakage and eddy current
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Limitation:Temporary (2 years) Contract:TV-L Your tasks Develop and implement computational pipelines for processing and analyzing ONT RNA/cDNA sequencing data. Apply machine learning and signal processing approaches
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: Mathematical modelling will be used to investigate the processes and consequences of disease progression from liver fibrosis to cirrhosis to hepatocellular carcinoma (primary liver cancer), to select specific