181 parallel-computing-numerical-methods-"Simons-Foundation" positions at Nature Careers in Germany
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. Applicants should have experience with tissue culture and standard molecular biology methods. Basic knowledge of computer programming (using the R software environment) and hands-on experience working with
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are seeking an excellent and enthusiastic post-doctoral researcher with a strong interest in computational microbiome research. The specific focus of the project will be tailored to the candidate’s interests
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of terrestrial systems analysis, we seek a candidate who can develop and lead future research activities in one or more of the following directions or related topics: Innovative observation methods for terrestrial
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are in engineering sciences, mathematics, computer sciences, natural sciences and medicine. Our economics, social sciences and humanities are indispensable and crucial disciplines in a modern university
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toxins, as well as their native stoichiometry, assembly and maturation. To this end, a combination of methods including membrane complex reconstitution and isolation, biochemical and biophysical
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strategies. We develop new methods with which tumors can be diagnosed more precisely and cancer patients can be treated more successfully. Every contribution counts – whether in research, administration
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advance current oral peptide delivery methods are particularly encouraged. However, proposals involving active pharmaceutical ingredients for altering gastrointestinal motility are out of scope. Group
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design-oriented or empirical methods is considered an advantage. Initial publication successes in renowned scientific journals are expected as well as initial experience with both publicly and industry
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models on edge devices Reporting findings and methods in conference and journal papers Your profile Masters, Diploma or equivalent degree in IT/computer science/statistics/applied mathematics/data science
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. The computational imaging group at DESY is concerned with the development