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of results in group meetings and at conferences a strong interest in translational research, to acquire biological knowledge and to work together with physicians and life scientists ability to work
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theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous
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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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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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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
for applying, and fit to the position CV (incl. list of publications) Names and email addresses of at least two references The application portal will be open for 6 weeks from 1st September – 12th October
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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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, Environmental Sciences, Computer Sciences Proven experience in financial economics, financial risk assessment as well and in climate and ESG ris Interest to work at the interface between research and policy, and
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manuscripts Preparation of grant applications Providing guidance to junior researchers Your profile: A PhD degree (or comparable) and a strong background in biostatistics, epidemiology, biology, medicine
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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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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