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Field
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mathematics, computational biology, quantitative biology, or a related field. Experience in ABM development and ODE/PDE modeling and analysis. Strong programming skills (Python, Julia, Matlab, C++, or similar
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in the field of Quantum Computing Knowledge of Python Good communication skills and a collaborative mindset Full professional proficiency in English Good to have: Hands on experience with at least one
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, oriented in Energy Systems. Minimum 3 years of experience in energy system modelling and/or control. Knowledge of Energy Markets, Excellent knowledge of Python Spoken and writing capabilities in Spanish
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. Proven experience (>4 years) in energy systems storage modelling or energy optimization. Experience in scientific writing (papers, conference proceedings). Proficiency in Python or similar programming
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development using Python and/or other programming languages, as well as executing organic (multistep) reactions in the laboratory. We are looking for an applicant with: A Master's degree in chemistry, chemical
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skills (Python preferred). Familiarity with ML/Data Science frameworks: PyTorch, JAX, Hydra, MLflow, Pandas (or similar). Additional qualifications Experience with project management, planning and
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within programming and statistical analyses (e.g., in Python, R, etc) are a requirement. A background in media technology & AI is a requirement, and knowledge in the centre’s research areas. The applicant
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biology and laboratory techniques (e.g., qPCR, immunofluorescence, among others). Knowledge of image analysis using ImageJ or similar software. Proficiency in MATLAB and Python will be considered
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Knowledge of Matlab, Python and software for signal interpretation Experience in laboratory for biomedical signal acquisition Experience in joint projects with Hospitals or Health institutes Scientific
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Carl von Ossietzky Universität Oldenburg | Oldenburg Oldenburg, Niedersachsen | Germany | 25 days ago
team spirit Good communication skills Experience programming in python Experience in computational modeling of neural circuits and in the mathematical analysis of neural computations Research experience