Adding functionality to assign Scheduler settings through pyfluent.launch_fluent()

### 📝 Description of the feature

Currently, you can only use PyFluent to run through a job schedule by launching Fluent through a Slurm environment:

I am an Ansys Channel Partner employee, and one of our customers would like the functionality to set scheduler settings using PyFluent, similar to launching through the GUI:

Ie: pyfluent.launch(job_scheduler = True, node_name = 'My Head Node')

### 💡 Steps for implementing the feature

_No response_

### 🔗 Useful links and references

_No response_

Start at the pyfluent.launch_fluent() entry point and trace how the existing Slurm-based scheduler launch is configured. Compare that path with the scheduler options exposed by the Fluent GUI; done means callers can provide settings such as job_scheduler and node_name through the launch API and use them to start Fluent.

Written by the indexing model from the issue text.