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combining medical epidemiology and biotechnologies and aim to identify and treat genetic abnormalities in selected neurological disorders. Your mission Efficient and specific delivery of gene editing drugs
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biotechnology, molecular biology, bioinformatics or a related field. We are looking for candidates with computational/bioinformatics backgrounds as well as candidates with experience in wet lab work
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Biotechnology and Synthetic Biology Experience in synthesis of nanoparticles and loading of drugs Skills including material characterization by X-ray diffraction, fluorescence and UVvis spectroscopy What do we
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Molecular biology, Biotechnology, Genetics or similar field. The successful applicant should have experience interpreting biological data and experimentally testing their hypothesis with a strong interest in
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biomedical science, molecular and cell biology or biotechnology. The applicant must be fluent in English and be eager to work in a cross disciplinary and international team. The candidate should possess
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of single cell and spatial multiome – transcriptomics and epigenomics - datasets. The ideal candidate should have obtained a MSc degree in bioinformatics, biotechnology, or a related field. The candidate
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: epidemiology, gerontology, genetics, bioinformatics, biostatistics, statistics, medical biotechnology, or a related discipline, and have a strong interest in aging and proteomics. The applicant must have at
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. Your profile PhD in cardiovascular science with experience in molecular biology, bioinformatics, morphology and experimental cell and animal models. A background in biotechnology/bioengineering as
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, biomedicine, molecular biology, biochemistry, biotechnology or related area Strong motivation to engage in medical research Good knowledge in english, oral and written Experience with programming (R, python
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communication skills are essential. Proficiency in English, both oral and written, is required. Candidates should have a background in biomedical sciences with expertise in molecular biology or biotechnology