209 software-engineering-model-driven-engineering-phd-position positions at Zintellect
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
platforms. Advanced Computational Biology & Software Engineering: Learning how to develop computational biology software using both traditional coding suites and emerging AI/Large Language Model (LLM) tools
-
and Illumina sequencers. Synthetic Biology Applications: Gaining experience in building software tools that support synthetic biology research, including CRISPR/Cas systems, molecular engineering, and
-
managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
-
Engaging in data management Learning software applications Applying accurate record keeping Learning the principles of science and study design underpinning these various projects Such experiences will allow
-
configurations. The software can assimilate large datasets and perform adjoint computations, inverse modeling, and uncertainty quantification. It has enabled breakthrough scientific discoveries and supported
-
this opportunity? Please email [email protected] Qualifications PhD in astronomy/astrophysics/astrochemistry/planetary science. Applicants with experience with Python, git/github, ai-leveraged software
-
, Computer Science, Systems Engineering, or a closely related field. A postgraduate is required to have earned their degree within 5 years of the appointment start date. A PhD is not required at the time of selection
-
were previously analyzed at NASA GSFC and can be further investigated for specific geophysical questions, with updated and improved modeling. These include: MESSENGER; Magellan; GRAIL, Lunar
-
invited to set up experiments to explore potential environmental conditions, test water mixing models, and constrain the influence of biology on mineral alteration. Studies focusing on clay minerals
-
diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional