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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq
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techniques to challenging biological systems. Requirements: Ideal candidates should hold an excellent PhD in structural biology, biochemistry, biophysics or in an equivalent area. Experience in membrane
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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students and technicians Maintain accurate documentation of protocols and instrument logs; liaise with service and facility management Your profile: PhD (or equivalent) in analytical/biological chemistry
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, in particular synchrotrons and Free Electron Lasers. You will work as a postdoc in a team of staff scientists, postdocs and PhD students as member of the Berlin Joint Laboratory for Ultrafast X-ray
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composition Present your results at international conferences and publish in peer-reviewed journals Your Profile: A Masters with subsequent PhD degree in chemistry, physics, environmental science, atmospheric
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, and positioning for subsequent fundraising and go-to-market activities Actively contribute to securing follow-up funding together with the fundraising team Your profile University degree (MSc or PhD) in
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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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good communication and organizational skills, and ability to work in an independent and flexible manner PhD degree in the Life Sciences Very good English language skills (oral and written) What we offer
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the disc is an added advantage. Career growth: The candidate will have the opportunity to co-supervise PhD students. Optionally, the successful candidate will have the opportunity to mentor master’s students