234 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions in Netherlands
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., high performance, functional array programming DSLs) to tackle challenging probabilistic and differentiable programming applications (e.g., experimental design, machine learning for science). We do so by
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on development of tools for i) improved imaging, ii) characterization of metabolism, and iii) monitoring of protective and -restorative therapies. Where to apply Website https://www.academictransfer.com/en/jobs
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research to address climate justice. JUST ART PhDs will study and develop concrete cases to learn how art and artistic research can be embedded in ongoing and emerging work on climate justice. They will
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these challenges by: Developing predictive workload, lead-time estimation, material planning models to capture the high variability in HMLV environments using hybrid AI (combining machine learning, feature-based
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group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics that nobody else has seen? Maybe you want to join our team as a PhD on our journey
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partner AquaBattery (https://aquabattery.com ). The research team is complemented with another PhD student working on the development of bipolar membranes for enhanced water splitting and recombination
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group Membrane Materials and Processes (MM/P – https://www.tue.nl/en/research/research-groups/membrane-materials-and-processes ), part of the Department of Chemical Engineering and Chemistry at the TU/e
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and air concentrations are measured and modelled Where to apply Website https://www.academictransfer.com/en/jobs/357793/phd-candidate-on-impacts-of-nit… Requirements Specific Requirements An MSc degree
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the response model from reactive to proactive. The goal is to increase transparency and trust in the DNS namespace. Key research activities will include applying machine learning and graph-based techniques
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“learning from nature” approach to explore how novel protein crops and their close relatives interact with neighbouring plants and the wider ecosystem, translating these insights into biodiversity-positive