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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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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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conferences Individual 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
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physics, particularly optoelectronics Hands-on experience in optical spectroscopy Good programming skills, ideally in Python Ability to collaborate and coordinate work within a team of scientists
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programming skills and expertise, e.g., Python, Julia, C/C++ Willingness to work independently and contribute to lidar soundings duringnights/weekends in accordance with applicable working laws. Communication
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the following: A background in experimental neuroscience, animal behavior, or cognitive psychology Experience with data analysis, programming (e.g., Python, MATLAB, R), and statistical methods
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semiconductors. You should have experience working in a laboratory environment, along with basic programming and data analysis skills (Python, MATLAB, LabVIEW). High motivation, very good English or German skills
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programming, preferably Python and R, is required. Experience with mass spectrometry data, in particular metabolomics, and geometric machine learning is a plus. In addition to above-average interest in
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well as experience in omics data analysis, and possesses solid English-language skills. Experience with programming, preferably Python and R, is required. Experience with deep learning frameworks, such as JAX
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tools to evaluate the ecological role of parasites and virus in the Elbe Estuary. The work is carried out as part of the DFG Graduate Program “Biota-Mediated Effects of Carbon Cycling in Estuaries