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PhD Position (m/f/d) - Atomic Layer Deposition (ALD) of transition metals for biomedical application
%). Ph.D. candidates (m/w/div) are facili-tated to participate in the Ph.D. program to complete their dissertation. After the first year evaluation the contract can be extended for another two years
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, Environmental science, Geosciences or related fields programming experience in Python or extensive experience in another high-level programming language is a prerequisite experience in geospatial data science
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extensive support through the RTG2413 (https://www.synage.de ) and the CBBS graduate program (http://gp.cbbs.eu ). Your profile: Master’s degree or equivalent in Neuroscience, Biology, Biomedical engineering
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development plans, mentoring programs, and support from experienced specialists Open, team-oriented work atmosphere in an international environment 30 days of annual leave Company pension plan (VBL) Flexible
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Universität Berlin. The position is part of the research group Quality.2 (Optimisation of glucosinolate degradation pathways) in the programme area ‘Plant Quality and Food Security’ (QUALITY). The aim
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/programming skills (Julia/Python/C++) is highly desirable: Quantum transport theories, Nonequilibrium quantum dynamics, Spintronics /quantum phononics/photonics. Our offer: Employment in accordance with
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to start 01 April 2025 Research Scientist or PhD Candidate (m/f/d) Soil fauna Leibniz project TrenDiv (65 % PhD / max. 75% part-time position) Within the framework of the research program “Leibniz
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collaborating institutes. Your profile Master degree in genomics, bioinformatics, molecular biology, or a related area Programming skills in a Linux environment, experience with shell scripts and Unix tools
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, magnetic fields) and programming skills (e.g. Python) are desirable. Remuneration is based on the TV-L (EG 13, 26 h/week). The contract is limited to 3 years, which is the project duration, set by the German
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proven skills in genomic evolutionary-, population- and/or phylogenomic analyses, in particular drift-related processes, speciation, and population statistics. Experience in analyzing NGS and programing