Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
Join an open, interdisciplinary team working at the intersection of computational biology, stem cell biology and neuroscience Collaborate closely with colleagues from experimental research Develop AI
-
solid background in neurobiology; have previous experience with optical imaging of neuronal activity or mouse stereotactic surgery or in vivo electrophysiology or advanced data analysis; are fluent in
-
Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
the institute focusses on the structure and dynamics of elementary processes in solids and at surfaces. Within this broader research theme, the Nonlinear Chemical Imaging (NCI) group of Dr. Alexander Fellows
-
output of the neutral atmosphere dynamics and chemistry of UA-ICON. A requirement will be to install TIE- GCM at the supercomputer of the German Climate Computing Centre, where UA-ICON is running
-
physics, engineering, medicine, biology or a related field Practical experience in optics, signal processing and working with experimental setups (e.g. MATLAB) Interest in medical diagnostics and innovation
-
Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
develop our state-of-the-art imaging systems by optimizing the hardware and integrating real-time data processing and analysis through machine learning techniques to achieve precise characterization
-
efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes the evaluation
-
, probabilistic models Representation learning, self-supervised learning, foundation models Data analysis, non-linear statistics, knowledge management Your profile PhD in Computer Science, Bioinformatics
-
collaborate closely with a dedicated team of soil fauna experts, ecological data modelers, computer-vision system engineers. Your Tasks Establish data science pipelines, data-modelling strategies, model
-
field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in