104 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions at Nature Careers
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
profound knowledge in computational and theoretical physics/chemistry. Capability of team work is essential. Skills in high-performance computing, materials chemistry, theoretical chemistry, molecular
-
interaction with researchers from different research fields and access to various scientific and technical expertise. All PhD students at the Faculty of Medicine attend the doctoral education program. More
-
. In particular, we focus on spinal sensorimotor circuits and their role in encoding somatosensory input and motor control. We apply a systems neuroscience approach combining mouse genetics, molecular
-
interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et
-
Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
-
the cellular and molecular defects arising from genetic variants affecting actin-regulatory proteins, including novel disease-causing genes. We will decipher the differential effects of actinopathies on immune
-
various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
-
· PhD in Aerospace Engineering, Mechanical Engineering, Applied Physics, or a closely related discipline. · Strong academic background in computational mechanics, fluid dynamics, electromagnetics
-
agreed upon with the relevant union. The position is a full-time position. The researcher position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You
-
biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career scientists give us the agility and expertise