Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
functional neuroanatomy with a focus on increasing the spatial precision of treatment methods such as deep brain stimulation (DBS) and discovering the underlying neurobiological mechanisms in neurodegenerative
-
will find yourself in a team that values creativity and allows you to influence the decisions made within the group. Furthermore, we value continuous learning and encourage you to allocate time for
-
environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
-
for statistical computing and data visualization Deep learning frameworks, such as PyTorch or Tensorflow and data science tools such as Numpy, Pandas and Matplotlib Experience in machine learning management systems
-
. Stena Industry Innovation Lab, enable deep involvement in national and European projects. Production Systems is one of six divisions within the Department of Industrial and Materials Science (IMS
-
-called feature-metric approaches. These new modern deep-learning based approaches have the potential of revolutionizing the geometric understanding. We will in the project primarily study acoustic data and
-
algorithms; experience in 3D/4D (X-ray tomography) image processing; experience in machine-/deep-learning based image analysis; knowledge of tomographic reconstruction methods; experience in materials research
-
to solving applied problems through research, collaboration and education on sustainable plant production. We teach and research plants for food, feed and energy. The research and teaching focus
-
physics, applied mathematics, machine learning, bioinformatics, biophysics, spectroscopy, image processing, ecological modeling, molecular biology, plant physiology, marine biology or an interest in gaining
-
systems. We will also conduct LCA and environmental impact assessments of our material and conduct user studies to acquire practical feedback on panel designs. The final biobased wall demonstrator