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(eDNA) approaches for biodiversity assessment across multiple habitat types. The PhD project will focus on applying and developing eDNA‑based methods to assess biodiversity and ecological communities in
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. The second approach focuses on exploring bioinformatic methods to "deconvolute" (untangle) shotgun DNA and RNA profiles when multiple donors are present in a single sample. This research is part of a recently
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learning, data science, atmospheric sciences, geophysics, or related fields. Solid numerical modelling and programming skills (e.g., Python, TensorFlow, scikit learn) are essential, along with a basic
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communications, fundamental knowledge on computing architectures, and advanced programming skills (e.g., Python, C++, Matlab/Octave). Experience with simulation, emulation, and modelling tools for signal
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Prediction (AI-focused) This position focuses on developing cutting-edge AI methods for genetic risk prediction across multiple cancer types, with a strong focus on model performance and explainability
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Modeling (Conceptual process simulations) is a major requirement for this position. Familiarity with both GUI-based process simulation tools (e.g., Aspen Plus, SuperPro Designer), and Open-Source Python
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multiple PhD scholarships in 2026 focusing on nanoparticle catalysis using advanced operando electron microscopy. If you thrive in a collaborative, cutting-edge setting and want to make a global impact, we
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Are you passionate about pushing the frontier of catalysis science? The Center for Visualizing Catalytic Processes (VISION) at the Technical University of Denmark (DTU) is offering multiple PhD
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. The PhD student will join the Life Cycle Sustainability (LCS) group that brings together multiple competences within industrial ecology and sustainability science for the holistic and quantitative
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Applying machine learning-guided directed evolution to improve multiple enzyme properties Upscaling selected biotransformation reactions in collaboration with academic partners Responsibilities and