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data analysis (genomic and transcriptomic) (UNIX, LINUX, R, Python or similar). Experience with microscopy and/or histological techniques is an advantage. Excellent English skills (written and spoken
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experience or interest in denovo genome assembly using PacBio HiFi data Familiar with R, Python or other coding languages Interdisciplinary communication skills and intercultural competence Excellent knowledge
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) Programming skills in Stata, Python, or QGIS are a plus Familiarity with Overleaf (LaTeX) is a plus Strong organizational skills and the ability to meet deadlines Ability to work independently and as part of a
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automated manner. This includes the development of Python-based control and automation routines, as well as the analysis of large experimental datasets. These characterization techniques may be complemented
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related discipline, is required. Basic knowledge and initial experience with experimental working methods (e.g. spectroscopy, laser physics) Fundamental programming skills and expertise, e.g., Python, Julia
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familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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an asset: Hands-on experience with laser setups and optical characterization techniques Understanding of rare-earth-doped materials Programming skills, ideally in Python What we offer The position is limited
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large environmental and ecological data sets, incl. empirical, remote-sensing and simulated model data knowledge in programming languages (UNIX, C, or similar) and script-based programming (R, Python