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, or similar disciplines Graduate students expecting to receive their PhD within six months can also apply Experience in the advanced analysis of genetic or proteomic data Interest in learning methods
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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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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
nodules) in combination with data on metabolic rates, and sediment biogeochemistry will form the basis of the work. Further sampling and measurements will take place in the CCZ as part of the project
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University Munich (www.tum.de). Accordingly, we are currently searching for PhD Students and Postdocs to join our team! PhD Students For PhD students, we are looking for persons that are willing to learn and
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation
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of Cardiovascular Research (DZHK) and the collaborative research center CRC1550 "Molecular Circuits of Heart Disease". Your Profile PhD in molecular biology, epigenetics, cardiovascular science, computational biology
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skills further, there is also the opportunity to aid in the planning, organization, and running of lectures. Required training, skills, and background • PhD degree in bio/medical engineering, materials
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aromatic nanobelts. Your profile: We are looking for experimentally skilled candidates, ideally experienced in multiple-step organic synthesis The candidate needs to have a PhD degree in Chemistry (with a
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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assays, flow cytometry, and gene editing techniques Collaborate closely with biologists, clinicians, and data scientists within a highly interdisciplinary environment Contribute to publications and