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learning approaches for high-dimensional data, and programming skills in R or Python. Profile Track 2 – Experimental Immunology / Bone Marrow Biology / Trained Immunity Candidates with an experimental
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applications Good analytical and (bio)statistical skills Knowledge of relevant programming languages such as Java, Python, and Perl Good knowledge of relational and document-oriented database design (e.g., MySQL
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and scripting skills (Java, shell, python) would be an asset Very good knowledge of the English language, spoken and written Look forward to a unique working environment on our international research
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
, diffusion, GAN) Good understanding of the mathematical foundations of machine learning Mastering python and related AI software technologies Proficiency in English Experience in parallel training of large DL
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engineering (e.g., software architecture, development processes, quality assurance). Very good programming skills (at least in Python and C++); ideally strong hands-on experience with ROS2. Experience in AI
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, including quantitative, qualitative, and experimental approaches. Ideally, experience with Python, Stata, or R. • demonstrates proficiency in data collection, processing, and analysis, preferably using
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programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly valued. Participation in teaching activities (e.g., supervising practical
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- Good PC and programming skills (e.g., with Python, MATLAB) - Experience with measurement techniques and field measurements using sensor technology (ideally using seis-mometers, geophones, etc.), as
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++, Python), and experience with ROS Experience with simulation tools such as MuJoCo, Gazebo Strong project management and mentoring skills Excellent command of English; German is a plus but not required What
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competences across these areas and a strong interest in geodetic research. Applicants should have good programming skills in a scientific programming language (e.g., Python), and experi-ence with remote sensing