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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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mass spectrometry data, RNA sequencing, or imaging. The candidate should also have a background in working with hierarchical data and resolving ambiguous, overlapping signals. Strong programming skills
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trafficking, ion homeostasis and intracellular Ca²⁺ signalling contribute to neuronal communication and synaptic plasticity, with a particular interest in the role of intracellular Ca²⁺ stores in the regulation
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The Einstein Telescope is a next-generation research infrastructure currently in development, featuring a large-scale computing center whose energy demands present a unique opportunity: to develop climate-neutral operations through the integration of renewable energy sources and hybrid storage...
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spatially explicit measures and spatial optimisation can influence restoration effectiveness and about processes for including knowledge from multiple sources in management actions. You will have close
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insights for streaming, broadcast, accessibility and media production. Candidate profile Applicants should have a background in machine learning, audio engineering, speech processing or a related discipline
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knowledge of MATLAB/Python and signals processing Understanding of electromagnetics Genuine interest in battery technologies Experience with CAD and mechanical design How to apply: Interested candidates
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available at the Graduate School’s website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted electronically by clicking ‘Apply for position’ below
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the MARIANNE team at the I3S Laboratory (Laboratory of Computer Science, Signals, and Systems in Sophia Antipolis) of the CNRS and Université Côte d'Azur. The team is based at the Inria Center at Université Côte
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will work within the **“Molecular Hematology – Blood Signals”** team, under the supervision of **Dr Eirini Trompouki**, at the **Institute for Research on Cancer and Aging of Nice (IRCAN)**. IRCAN is a