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focus on research and development in Atmospheric Pressure Matrix-Assisted Laser Desorption/Ionization (AP-MALDI) mass spectrometry and molecular imaging, using high-resolution Orbitrap MS instrumentation
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modeling, 4D imaging radars, distributed sensing, and tracking. SPARC has also collaborated with long-term industry partners such as IEE S.A (www.iee.lu ), University of Naples Federico II, US Air Force
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and image analysis (MATLAB or Python), machine learning techniques, and basic programming/coding will be a plus. Fluency in English is mandatory. Willingness to work in an inter-cultural and
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-pathogen interactions and feedback, using a combination of quantitative imaging, microfluidics, statistical analysis and machine learning tools. A specific focus will be put on discovering biophysical
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labeling strategies be further developed and optimized for live-cell imaging, super-resolution microscopy, and cell-specific proteomics? How do neurons, glial cells, and immune cells communicate, and how can
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paradigm for quantum optimization with quantum computing (QAOA, Quantum annealing, etc.) Knowledge of quantum computing SDKs such as Qiskit or Pennylane We offer Multilingual and international character
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, or related Experience and skills · Multi- and hyperspectral images processing · Knowledge of quantitative remote sensing · Knowledge of physical and statistical modelling concepts
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science or related discipline Experience and skills Experience in developing MLIPs, including good programming skills in Python and C, demonstrated via contributions to code repositories Experience with
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computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning