Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
School of Engineering Sciences at KTH Job description The research project concerns the development and use of MINFLUX single-molecule microscopy for cellular imaging and dynamic studies
-
, transcriptome analyses and 2D and 3D image analyses, the latter using OPT and LSFM. The study also requires routinely used developmental and molecular biology methods, such as cloning of expression constructs
-
for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
-
volume of imaging and behavioral data from the BrainHealth Project Publish findings Help to secure funding to continue the research program Physical Demands and Working Conditions Long hours working
-
of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in infant data processing and analysis. Present novel discoveries at international conferences
-
physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
-
developmental project on individual differences in language processing that was funded through the NWO Gravitation grant ‘Language in Interaction’. Behavioural, functional and structural MRI data was collected
-
results published in top-tier journals. Duties The department of Computer Science, Electrical and Space Engineering at Luleå University of Technology (LTU) is offering a Postdoctoral Fellow position to
-
relevant field at the PhD level with zero to five years of employment experience. Experience with deep learning frameworks (PyTorch, TensorFlow, JAX). Strong background in computational image processing and
-
research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based