26 environment Senior Scientist positions at PhD Programme "Gene Regulation in Evolution"
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, society and industry. With its ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working environment in the fields
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- cardiovascular and metabolic disorders, neuroscience, immunology and inflammation. Experience in scientific hypothesis generation and testing using in vivo techniques. Experience working in a matrix environment
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the dynamic team environment and fast-paced project timelines, strong interpersonal and communication skills are essential. This laboratory-based position offers the opportunity for cross-training and
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in a regulated laboratory environment PhD in biological sciences, biochemistry or molecular biology. with 2 years of experience in the relevant field. Master's degree with7+ years of relevant
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interactions with a team of creative and innovative scientists , working collaboratively in a supportive environment to conduct rigorous scientific and drug discovery research. Strong self-motivation, excellent
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experimental conditions, striving for accurate modeling of the CNS environment. Independently design and execute experiments, and interpret and track results. This includes being up to date on relevant
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doing so, you will also work closely in a matrix-team environment with bioanalytical and ADME scientists to ensure the execution of appropriate experimental plans and data interpretation. You will also
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engineering and chemistry to improve the safety of products and processes. At BAM we do research that matters. Our work covers a broad array of topics in the focus areas of energy, infrastructure, environment
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ultramodern research infrastructure, its interdisciplinary research platforms and its international networks, DESY offers a highly attractive working environment in the fields of science, technology and
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National Institutes of Health/National Library of Medicine | Bethesda, Maryland | United States | about 2 months ago
publications and contributions to the field, and ability to work collaboratively in an interdisciplinary research environment. The ideal applicant has a strong background in non-parametric statistical testing