How to assign Different Contraints for Variables sampled from a Multivariate Normal?

I solved the issue by letting all parameters unconstrained - to avoid the underflow I defined a functions which randomly samples reasonable initial values from a uniform distribution for the subject parameters. The model runs fast and stable with this solution!

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