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Field
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ranges. • Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. • Integrate HSI with complementary spectroscopic techniques (Macro
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: (1) contributing to the development of new analytical tools for the empirical assessment and comparison of welfare state institutions, (2) leading and coordinating the collection of legal information
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. Your Profile: A Masters degree with a strong academic background in physics, mathematics, computer science, computational neuroscience, or a related field Excellent quantitative and analytical skills
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research proposal required for application with a timetable for the four-year research project. Required equipment will be set up and further development of relevant analytical methods will follow
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challenges of our time. Be part of change As part of the interdisciplinary “Machine Learning Enhanced Sensor Systems” team, you will work on and develop data-driven solutions for intelligent sensor technology
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Strong analytical and independent working style Excellent teamwork and communication skills You are independent, motivated, and passionate about shaping the energy transition—if this describes you, we
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particular experience with analytical methods such as fluorometry, spectroscopy and chromatography - Independent way of working - A high willingness for interdisciplinary work as well as excellent written and
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and AI algorithms Solid programming skills in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience working with geospatial data (e.g., geopandas
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of concept and transfer to industrial implementation. Various modern methods of plant biotechnology from the fields of process engineering, biochemistry, and analytics are of utmost importance for this. Be
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of cybersecurity or data protection Willingness to take on new challenges, strong analytical thinking skills, interest in solution-oriented action Ability to work in a team What we offer Environment and