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different approaches, the most prevalent is polygraph testing which infers deception through the measurement and analysis of physiological responses (e.g., blood pressure, electrodermal activity). However
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sequencing and researching disease in patient cohorts, working with machine learning techniques and programming computers. The candidate will learn about different flavors of metagenomic sequencing, how
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Data Science, Data Analysis, Computer Science, or Mathematics Strong programming skills (e.g., Python, C/C++, C#, Java, Scala or similar) Solid academic record (GPA B or higher on master’s degree and
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introduced EU Deforestation Regulations aim to reduce the environmental impact of ‘Forest Risk Commodities’ (FRCs) such as soy, palm oil and coffee. Land-use changes, like forest clearing and burning
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faced by different types of organizations Excellent speaking and writing ability in fluent English, ideally with experience writing for a scientific audience Willingness and motivation to independently
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of energy-aware planning and scheduling in manufacturing, -experience in programming (Python, C/C++, Java, etc.) and implementing intelligent automation, -previous participation in EU or international
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collaborative and interdisciplinary team examining commonalities and differences across countries of origin (Italy, Turkey, and Yugoslavia) and destination countries (France and Germany). The team consists
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and Computer Vision Excellent programmer in Java / C / Python or equivalent Excellent at using Machine Learning software, e.g. PyTorch / TensorFlow / Scikit Learn Highly knowledgeable in mathematical
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room, within this framework, to shape the PhD project in line with your own interests. You will be part of a collaborative and interdisciplinary team examining commonalities and differences across
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friendly and supportive atmosphere, with regular gatherings such as professional meetings within the research group, weekly research colloquia, shared lunches, and “Friday coffee” sessions to wrap up