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for a highly motivated candidate who has recently obtained (or be about to receive) a PhD in organic or bioorganic chemistry with a keen interest in nucleic acid research. Experience with Systematic
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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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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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19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current
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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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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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assays, flow cytometry, and gene editing techniques Collaborate closely with biologists, clinicians, and data scientists within a highly interdisciplinary environment Contribute to publications and
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on aging Engage in manuscript writing, grant preparation, and scientific dissemination Actively pursue external funding opportunities Requirements: PhD in Molecular Biology, Bioinformatics, Evolutionary
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within a few months), for example in economics, social science or related field Excellent mathematical and analytical skills from fields such as mechanism design and optimal taxation Familiarity
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, analytical differential equations) to tackle novel questions on eco-evolutionary dynamics in future scenarios of environmental change. Report results in scientific publication(s) and conference(s). Your