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independently and collaboratively in an interdisciplinary team Strong communication and organizational skills Our offer The position offers a dynamic, international, and interdisciplinary research environment
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detail: Planning, supervision and implementation of innovative experiments with solid oxide cells, in both electrolysis and fuel cell mode Characterization of the repeating units during stack operation
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hydrogel ink specifically adapted for cartilage cell growth. A robotic arm is being developed for in vivo bioprinting directly in a cartilage defect. POSITION The DWI is looking for a Postdoctoral researcher
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Your profile: Master degree in biology, biochemistry, biotechnology or related areas prior experience with cell culture, iPSC and molecular biology techniques prior experience in bioinformatics
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scaling and generalization behavior Roll out the model to the global user community Requirements PhD or MSc in computer science, physics, mathematics or a related discipline Experience with large-scale HPC
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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
collaboratively in a team-oriented environment # Excellent communication skills Our offer # A vibrant research community in an open, diverse and international work environment # Scientific excellence and extensive
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“NANeurO,” which focuses on the development of injectable nanoelectrodes for wireless and minimally invasive neural stimulation. About us The NEN Lab works with new materials for wireless communication with
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proteomics and/ or the use and application of stem cell-based neurons are especially encouraged to apply. The applicant should also have excellent written and oral communication skills and display a high
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 months ago
, biophysics and cell biology located at the center of the Frankfurt science campus. It consists of four scientific departments, multiple research groups and scientific core facilities, with about 200 employees
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algorithms to analyze OMICS data (e.g., genome, transcriptome, proteome, microbiome) from patient samples and basic research perform single-cell RNA-Seq and spatial transcriptomics analysis apply artificial