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We currently have an open ESR position at Lambert Instruments

Reference: ESR5-NL

A PhD position is available at Lambert Instruments, Groningen, The Netherlands

Project title: Autonomous High-Throughput accurate FLIM with subcellular resolution
Description:
Development and optimization of automated data mining from multi-well microscopy plates.
The goal is to improve on current intensity-based methods for detection of the presence of biological phenomena in microscopic images by applying deep-learning for morphological analysis in detection and classification. Additional discriminating dimensions are created by integrating Fluorescence Lifetime Imaging Microscopy (FLIM) measurements into the dataset. The end point is a fully automated processing workflow to detect subtle changes in organelle morphology. The research involves improvement of a FLIM protocol for speed and accuracy, optimize modulation and illumination parameters, develop noise reduction algorithms. By using active feedback loops for real-time measurement adjustment, the harvest of target patterns will be optimized using reinforcement learning or other control algorithms for digital microscopes.

Location: Groningen, The Netherlands
Supervisor: Prof. Dr. L.R.B. Schomaker (l.r.b.schomakerATrug.nl); Mr. J. Wehmeijer (jeroenATlambertinstruments.com)
Co-supervisors: Prof. Dr. I.J. van der Klei, University of Groningen & Prof. Dr. M. Fransen, KU Leuven
Planned secondments: KU Leuven, University of Groningen
Required subject specific skills and expertise: a master’s degree in computer science or artificial intelligence with specialisation in image processing and (deep) machine learning. Experience with biological imaging techniques is advantageous but not mandatory.
Application deadline: 10/12/2018
Starting date:  April 1, 2019

Application form ESR5

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Extended deadline 15 ESR/PhD vacancies

The PERICO project currently has fifteen vacancies for full-time Early Stage Researcher (PhD students). The previous deadline for applications has been extended until October 28.

The training schemes include specific research projects, secondments to partner organizations, a wide range of dedicated courses, and workshops organized by the academic and industrial partners of the Network. The scientific training programme will be complemented with training in managerial soft skills.

For more information, and to submit your application, please check the full position descriptions here.

Please note: Applications that have already been submitted are well received and under consideration. No further action is required on behalf of applicants who applied before the previous deadline.

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