A reflexive space which does not have an equivalent uniformly convex norm

The answer to the first question is probably disappointingly simple: Take $\mathbb{R}^2$, once with the Euclidean norm $\|(x,y)\|_2 = (|x|^2+|y|^2)^{1/2}$ and once with the $\ell^1$-norm $\|(x,y)\|_1 = |x| + |y|$ for example. The norms are equivalent, the Euclidean norm is uniformly convex, while the $\ell^1$-norm isn't. Of course, $\mathbb{R}^2$ is reflexive with respect to both norms.

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The answer your updated second question is a classical result of M.M. Day:

Theorem. There exist Banach spaces which are separable, reflexive, and strictly convex, but are not isomorphic to any uniformly convex space.

This is the main result of his paper bearing the statement of the theorem in its title:

M.M. Day, Reflexive Banach spaces not isomorphic to uniformly convex spaces, Bull. Amer. Math. Soc. Volume 47, Number 4 (1941), 313-317, MR0003446.

Since the paper is freely available via the above link, there is little sense in my elaborating on it.

Note that every separable space can be given an equivalent strictly convex norm. Indeed, if $X$ is separable then you can easily construct an injective operator $T\colon X\to \ell_2$. Then define a new norm on $X$ by $\|x\|^\prime = \|x\|+\|Tx\|_{\ell_2}$, which is strictly convex. (I guess this trick is attributed to Victor Klee.)

Now, to answer your second question we need a reflexive space which is separable but not super-reflexive because then we can endow it with a strictly convex norm, yet it cannot be uniformly convex. (Actually, every reflexive space can be given an equivalent strictly convex norm but this is more involved.) For this take

$$X = \big( \bigoplus_{n=1}^\infty \ell_1^n \big)_{\ell_2},$$

where $\ell_1^n$ stands for $\mathbb{R}^n$ endowed with the $\ell_1$-norm. By Enflo's thoerem, it cannot be given an equivalent uniformly convex norm because it is not super-reflexive. Of course, Enflo's theorem characterising super-reflexive spaces as precisely those which can be renormed in a uniformly convex manner is very deep.