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%, Multidimensional OMICS Data Analysis Group) Ref. Number: 398_2026 These positions are part of the Leibniz Science Campus “Cardio-Oncology Campus for Precision Medicine”, with focus on the analysis and development
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Bethesda MD is seeking a highly motivated post-doctoral researcher to investigate how ion channels shape hippocampal circuit development and function, and how their dysregulation may contribute
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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conditions and prokaryote community composition. The work will include collection and analysis of large metagenomic and genomic datasets, virus and host isolation, cultivation, and characterization, and
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transplantation. PhD candidates are employed by university and work in an international research environment with personalized supervision and structured doctoral training, including courses, seminars, and journal
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Dortmund, we invite applications for the Research Group Analysis of Microscopic BIOMedical Images (AMBIOM): PhD Candidate (m/f/d) The position is part of the DFG-funded project: ComplexEye - a 96/384-well
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Analysis of Metallic Alloys R26-10 Functional Inorganic Nanomaterials R26-11 Optical Nanomaterials R26-12 Measurement Informatics on Synchrotron Research Environment Support up to 10 million yen depending
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
, Engineering Physics, Physics, Mathematics, or a related field Salary group E13 TVöD Temporary contract untilfor 24 month Full-time / suitable as part-time employment The Bundesanstalt für Materialforschung und
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morphology to directly link gene-regulatory cell states to functional neuronal phenotypes. This ambitious project integrates wet-lab experimentation with advanced computational analysis, and is ideal for a
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role Conduct research on data quality and long-term reliability in smart sensor systems for industrial monitoring Develop methods, models, and computational tools for sensor data validation, anomaly