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Field
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experimental data. • Proficiency in scientific programming and data analysis tools (e.g., Python, R, Linux/Unix environments). • Demonstrated track record of publishing scientific results in peer-reviewed
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be advantageous: Experience with scientific expeditions Experience in computer-aided analysis of biological sequence datasets (e.g., with R, Python and Bash/Linux environments) Basic understanding
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(meta-)genomes Experience in the computer-assisted analysis of large biological datasets (e.g., using R, Python, and Bash/Linux environments) Very good written and spoken English skills Ability to work
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or related fields. Two (2) years experience in data analysis. Experience with relational databases and statistical research, data retrieval, and query e.g. geographic information systems (GIS), Python, Numpy
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related field with a strong quantitative focus. Strong programming skills in Python and demonstrated experience with machine deep learning frameworks (for instance, PyTorch or TensorFlow), preferably
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power systems, energy conversion, modelling, simulation and programming tools (e.g. MATLAB, Simulink, Python), or related research areas will be considered an advantage. Strong analytical skills, a
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documentation, and draft sections of papers or reports Who We're Looking For Bachelor's or Master's degree in Computer Science, Computational Linguistics, Data Science, or a related field Proficiency in Python
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constructs. Experience with promoter engineering, regulatory-sequence design or optimisation of microbial gene expression. Experience with CRISPR-based genome engineering or other advanced strain-engineering
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analysis, such as MATLAB/Simulink, Python, finite-element tools or equivalent Essential Application/Interview Awareness/knowledge of field-oriented control, FPGA-based control, GaN inverter technologies
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mobility grants and a Mentoring programme for predoctoral and postdoctoral researchers. Stimulating, interdisciplinary research and high-quality international scientific environment. Induction programme to