I am interested in the problem that was introduced here
Spanning a vector with no zero coordinates
which is the following:
Given a matrix $A \in (\mathbb{F}_p)^{m \times n}$, is there an efficient method to find a vector in its column space which does not have any 0 entries (or prove that one doesn't exist)?
The answer given in the above post shows that for every characteristic $p > 0$, there is a counterexample matrix to such a vector existing, but I would like to know of a procedure to find one such vector, or show that one cannot exist.
If it helps, I am specifically interested in $p = 3$.
The other answer is correct regarding the NP-completeness of Syndrome decoding, which is about finding a vector with a nonzero lower bound on the Hamming weight in the nullspace of an appropriate matrix. Actually, the original proof for $p=2$ was given in
This was generalized to arbitrary fields by Alexander Barg (there may be an English translation of this paper)
The generalized case addresses your question.