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Field
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programming skills (Python/C++); Proven interest in generative models and Explainable AI is a plus; Analytical and creative mindset, with the ability to work independently and in teams; Excellent command
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degree in atmospheric science, physics, environmental sciences, remote sensing, or a related field. Strong analytical and problem-solving skills, with interest in linking satellite data and atmospheric
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unstructured data from various sources to enable advanced visualization and insights. Applicants should have experience in data management, predictive modeling of pavements, or infrastructure analytics. In
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, predictive modeling of pavements, or infrastructure analytics. In this PhD, you are expected to develop a systematic, future-proof framework for predicting pavement lifetime, with a strong focus on Dutch road
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, or a related field. Hands-on experience with plants and/or fungi, and enthusiasm for both field and greenhouse research. Strong analytical and critical thinking skills are essential. Experience with
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science, physics, environmental sciences, remote sensing, or a related field. Strong analytical and problem-solving skills, with interest in linking satellite data and atmospheric models. Experience
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in psychology, neuroscience, or a closely related field. Curious and ambitious – You are motivated to pursue excellent scientific research and eager to grow as an independent researcher. Analytical and
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characterize how pathogenic mycobacteria rewire host-cell metabolism and identify novel drug targets. They will be trained in a variety of powerful, modern analytic techniques including metabolomics
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, or another relevant discipline. Required skills/qualifications Strong interest in circular economy, product design, systems thinking, and sustainability assessment. Solid analytical and problem-solving skills
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law or European Union law (demonstrable knowledge of freedom of information laws, transparency or confidentiality rules are a plus); A creative mind and strong critical and analytical skills