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Computational Pathology is preferred. A strong publication history, including but not limited to conferences such as MICCAI, NeurIPS, ISBI, ICCV, ICML, ECCV, or others. Proficiency in Python, TensorFlow/PyTorch
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hardware interfacing programming in Python Team-oriented and highly motivated to work in an experimental laboratory A background in quantum computing as well as experience with cryogenics, signal delivery
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programming skills with python Comprehensive knowledge of data science, data analysis, data management as well as machine learning Experience with data-driven machine learning (SINDY, LASSO, SISSO packages
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. The algorithm is then tested for effectiveness and efficiency against an existing data set. What you will do You will design and realise the concept in Python You carry out a literature research, design
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, sociological...) to measuring beliefs, attitudes, and their relationship with shaping (online) behavior is desirable. Familiarity with data analysis in R or Python is required. Experience in study handling
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studying electronics, computer science, information technology or a comparable subject You have initial experience with application development (python, c++) Knowledge on Kubernetes, docker advantageous A
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RPTU Good at Python and/or C++ Basic knowledge of computer graphics and procedural generation techniques Familiarity with shading languages like OSL is a plus, but not required very good knowledge
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heat- and mass transfer problem is advantageous First Experiences in MATLAB or Python (NumPy, SciPy) are required A high degree of initiative, independence and motivation Good language skills in English
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soil characterization techniques. A strong command of English is indispensable. Skills in R, MATLAB or Python are helpful. The effective exchange within the interdisciplinary collaboration will be
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discipline Strong interest in automation of process steps (Python, LabView, or similar... Experience in one (or more) of the following areas is desirable: programming, automation, synthesis of inorganic