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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
, Python, Unix/Linux command-line tools, and workflow automation Profound understanding of the relevant metrics and methods to analyze microbial communities and functions and their spatio-temporal patterns
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be able to execute standardized workflows, troubleshoot, and perform quality control? Great! Are you well-versed in the use of inversion algorithms and confident in your Python skills? Perfect
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your research at conferences, workshops, and through scientific publications. Your profile: ▪ You hold an MSc degree in physics, engineering, or computer science. ▪ You are very experienced in Python
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system analysis or comparable Initial experience in optimization or statistics is an advantage Initial experience of an object-oriented programming language (e.g. Python, Matlab) and MS Office Analytical
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are an advantage: femtosecond laser and diagnostics, high power lasers, ultrahigh vacuum, programming skills (Labview, Python) Ability to work closely within a team: engineers, students, postdocs and scientists, and
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, mechanical engineering, physics or similar basic programming skills in one or more languages (Python, C/C++, or others) experience in mechanical testing profound knowledge of machine learning methods (e.g
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, Python and/or Stata skills; Optional: Interest and experience in formal modelling (game theory, agent-based modelling); Competent handling of MS Office applications. Our offer Remuneration in accordance
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 months ago
, biology, chemistry or engineering). Solid written and spoken English Willingness to learn new skills beyond own field Expertise in programming (at least one of the following Python, MatLab, C, C++, C
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statistical data evaluation, creation of scientific programme codes using common software packages (MATLAB, Python, R) Simulation skills with e.g. molecular dynamics and alpha fold Knowledge
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Science, Materials Science, Engineering, Physics, or a related domain. Proficient in Python; experience or eagerness to learn ML libraries (PyTorch, TensorFlow, scikit-learn), Familiarity with time-series analysis and