11 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"IMPRS-ML"-"CSIRO"-"https:" "Prof" "Fraunhofer Gesellschaft" positions
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software systems for healthcare applications Experience with clinical trials Strong programming skills in python Strong programming skills für mobile and server side software (e.g., Swift, Kotlin, Javascript
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, biodegradability and appropriate mechanical properties. Few materials meet all these requirements. However, the biopolymer silk is emerging as a strong contender. Re-programming silk with state-of-the-art tools now
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contribute Degree (diploma/master) in physics, electrical engineering or equivalent disciplines Knowledge and relevant professional experience in simulation techniques and programs to model modal structures
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program aims to develop novel photonic measurement techniques based on interferometry and nonlinear optics that enable spectroscopic measurements of the entire physiologically relevant concentration range
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records, or data from digital health applications Strong programming skills in python and demonstratable experience with Tensor Flow and / or PyTorch Ability to work independently Very good English speaking
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real-world data such as electronic health records, or data from digital healthcare applications Strong programming skills in python and demonstratable experience with Tensor Flow and / or PyTorch Ability
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data types, e.g. longitudinal clinical data, clinical real-world data such as electronic health records, genomic data, or data from digital health applications Strong programming skills in python and
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or Mechanical Engineering – strong background in machine learning, deep learning and / or computer vision – good programming skills in Python (and C++) – basic knowledge of optics including concepts like PSF, MTF
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computer science, mathematics or an equivalent with above-average performance You have very good knowledge in one of the following areas: Programming skills in Python, C++ or CUDA Deep learning frameworks
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their interdisciplinary and international composition. Individual career paths through extensive training and development opportunities (e.g., funding and development program "Fraunhofer TALENTA" for female scientists and