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Field
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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
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and databases is advantageous Proficiency in programming with C and Python (especially in the context of open-source software projects) Basic knowledge of HTML, CSS, or similar technologies
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science, or a comparable field. You already have experience in Linux systems (Shell/Terminal), Python (e.g., for data analysis with pandas) as well as statistical methods, and Git. Knowledge in Modbus-RTU
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environments, e.g., Python, R, Microsoft Azure AI Studio, RapidMiner, Dataiku, etc. Methodological and statistical competencies (e.g., for analytics) Experience with cloud platforms such as Amazon Web Services
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evaluate usability of system architectures such as Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference - implementation of your machine learning pipeline in Python (using e.g
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or related fields Strong interest in machine learning Basic knowledge of Python and common machine learning libraries Basic knowledge of electrochemistry and battery technology or willingness to learn What we
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Science, or a related field. Demonstrated experience in image or signal processing, instrumentation data pipelines, or similar. Strong programming skills in Python, R, or MATLAB. Experience with statistical
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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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Helmholtz-Zentrum für Infektionsforschung GmbH | Braunschweig, Niedersachsen | Germany | 27 days ago
sample collections Conduct and supervision of laboratory analyses, in particular immunological assays Data management and programming in R and Python Writing and contribution to original publications
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PixHawk Autopilot, Arduino boards, Raspberry Pi - or equivalent Experience with ROS/ROS2 Experience with programming languages like Matlab, Python, C++ Familiarity with machine learning and/or deep learning