Sure, I can help you with that.

To find the indices of a value in a multidimensional NumPy array, you can use the `where()` method. The syntax is the same as for a single-dimensional array, but you need to pass a tuple of indices for each dimension. For example:

```python
import numpy as np

# Create a multidimensional numpy array
array = np.array([[1, 2, 3], [4, 5, 6]])

# Get the index of value 3
indices = array.where(array == 3)
print("Value 3 exists at elements: ", indices)
```

This will print the following:

```
Value 3 exists at elements: (1, 2)
```

The output of the `where()` method is a tuple of NumPy arrays, one for each dimension of the original array. In this case, the output is a tuple of two arrays, one with the index of the row where the value 3 was found, and one with the index of the column where the value 3 was found.

You can also use the `ndenumerate()` function to iterate over the indices of a multidimensional NumPy array. The `ndenumerate()` function returns a tuple of indices for each element in the array. For example:

```python
import numpy as np

# Create a multidimensional numpy array
array = np.array([[1, 2, 3], [4, 5, 6]])

# Iterate over the indices of the array
for index, value in np.ndenumerate(array):
    if value == 3:
        print("Value 3 exists at elements: ", index)
```

This will print the same output as the previous example.

I hope this helps! Let me know if you have any other questions.
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