181 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at Nature Careers in Germany
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Junior Research Group in the field of Metabolic Plasticity. What we are looking for in applicants: We are looking for established scientists in an early career phase (up to 6 years post-PhD) who
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interpretation of OMICs datasets (DNA, RNA, proteome) Supervision and technical guidance of Bachelor’s, Master’s, and PhD students, as well as technical staff within the project context Participation in teaching
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preclinical in vitro and in vivo models Supervise and mentor MSc/MD/PhD students Collaborate with national and international research partners Present your results at scientific meetings Publish your findings
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female immunity. The field of study may comprise the entire spectrum of specific scientific questions con-cerning the female immune system. This position has been established through the program “Gender
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#publish findings in international peer-reviewed journals #PhD in Geography, Sustainability Sciences, Ecological or Environmental Economics, System Dynamics, or related fields #proven experience in system
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Profile PhD in life sciences and/or an MD degree in medicine Excellent postdoctoral research experience (max. up to 6 years), ideally in the field of target screening and/or immunoreceptor engineering
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presentations at international conferences Our requirements Completed PhD in Biology, Biotechnology, Bioinformatics, Immunology, or related field Strong interest in computational science and AI (prior formal
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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, the metabolome and metallome of marine macro- and microorganisms by cutting edge LC-MS/MS-based chemoinformatics/computational untargeted metabolomics (MS/MS fragment similarity based molecular
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extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational untargeted metabolomics using LC-MS/MS-based molecular networks) Fractionation