Academic CV: Elegant (EN) LaTeX Template

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\begin{center}
  {\Huge\bfseries\color{navy} Dr Jane Smith}\\[0.35em]
  {\large Postdoctoral Researcher \textbullet{} Computational Neuroscience}\\[0.3em]
  \small
  \href{mailto:j.smith@university.edu}{j.smith@university.edu}
  \quad\textbullet\quad +44 (0)20 0000 0000
  \quad\textbullet\quad \href{https://janesmith.github.io}{janesmith.github.io}
  \quad\textbullet\quad \href{https://orcid.org/0000-0000-0000-0000}{ORCID}\\[0.15em]
  {\color{mygray}\small Department of Neuroscience, University of Oxford, Oxford OX1 3TG, UK}
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% ── Research Interests
\cvsect{Research Interests}
Computational modelling of neural circuits; Bayesian inference in sensory processing;
machine learning for neuroimaging; large-scale neural data analysis.

% ── Education
\cvsect{Education}
\cventry{2019--2023}{Ph.D.\ in Computational Neuroscience}{University of Cambridge}{Cambridge, UK}%
  {Thesis: \textit{Probabilistic Models of Predictive Coding in Visual Cortex}.\\
   Supervisors: Prof.~A.~Researcher. Awarded with \textit{distinction}.}
\cventry{2017--2019}{M.Sc.\ in Mathematics (Merit)}{Imperial College London}{London, UK}{}
\cventry{2014--2017}{B.Sc.\ in Physics, First Class Honours}{University of Edinburgh}{Edinburgh, UK}{}

% ── Positions
\cvsect{Positions Held}
\cventry{2023--present}{Postdoctoral Research Fellow}{University of Oxford}{Oxford, UK}%
  {Marie Sk\l{}odowska-Curie Fellow. Funding: European Research Council (ERC).}
\cventry{2021--2022}{Visiting Researcher}{Gatsby Computational Neuroscience Unit, UCL}{London, UK}{}

% ── Publications
\cvsect{Publications}
\textbf{Journal Articles}
\begin{enumerate}[leftmargin=*, itemsep=2pt, topsep=3pt]
  \item \underline{Smith, J.}, Dupont, M., \& Researcher, A. (2024).
    Hierarchical Bayesian models of predictive gain control in V1.
    \textit{Nature Neuroscience}, \textbf{27}(3), 412--429.
    \href{https://doi.org/10.xxxx/xxxx}{\texttt{doi:10.xxxx/xxxx}}
  \item \underline{Smith, J.} \& Researcher, A. (2023).
    Efficient coding with correlated neural noise.
    \textit{PLOS Computational Biology}, \textbf{19}(5), e1011124.
\end{enumerate}

\textbf{Conference Proceedings}
\begin{enumerate}[leftmargin=*, itemsep=2pt, topsep=3pt, resume]
  \item \underline{Smith, J.}, Garcia, R., \& Researcher, A. (2023).
    Amortised variational inference for neural population dynamics.
    \textit{Advances in Neural Information Processing Systems (NeurIPS)}, 36.
  \item \underline{Smith, J.} (2022).
    Predictive coding as message-passing in factor graphs.
    \textit{ICLR Workshop on Geometrical and Topological Representation Learning.}
\end{enumerate}

\textbf{Preprints}
\begin{enumerate}[leftmargin=*, itemsep=2pt, topsep=3pt, resume]
  \item \underline{Smith, J.} \& Martin, L. (2024).
    Scalable simulation-based inference for connectomes.
    \textit{bioRxiv}. \href{https://doi.org/10.1101/xxxx}{\texttt{doi:10.1101/xxxx}}
\end{enumerate}

% ── Grants
\cvsect{Grants \& Fellowships}
\cventry{2023--2026}{Marie Sk\l{}odowska-Curie Postdoctoral Fellowship}{European Research Council}{}%
  {\euro{}195,000. Project: ``BayesNeuro: Probabilistic Inference in Neural Circuits.''}
\cventry{2021}{Wellcome Trust Travel Grant}{Wellcome Trust}{}{\pounds3,500. Visiting fellowship at Gatsby Unit, UCL.}
\cventry{2019--2023}{EPSRC Doctoral Training Partnership Studentship}{Engineering and Physical Sciences Research Council}{}{}

% ── Teaching
\cvsect{Teaching \& Supervision}
\cventry{2022--2023}{Course Lecturer (10 lectures)}{Part III Mathematical Neuroscience, Cambridge}{}%
  {Designed and delivered lecture series on Bayesian brain theories.}
\cventry{2020--2022}{Teaching Assistant}{Computational Neuroscience; Probability \& Statistics, Cambridge}{}{}
\cventry{2022}{Undergraduate Dissertation Co-Supervisor}{University of Cambridge}{}{Two final-year projects in computational modelling.}

% ── Presentations
\cvsect{Invited Talks \& Presentations}
\begin{itemize}[leftmargin=*, itemsep=2pt, topsep=2pt]
  \item \textbf{Invited talk}: ``Amortised Inference for Neural Data,'' Bernstein Conference, Berlin, Sep~2023.
  \item \textbf{Contributed talk}: NeurIPS, New Orleans, Dec~2023.
  \item \textbf{Poster}: COSYNE, Salt Lake City, Feb~2023.
\end{itemize}

% ── Service
\cvsect{Academic Service}
\begin{itemize}[leftmargin=*, itemsep=2pt, topsep=2pt]
  \item \textbf{Reviewer}: NeurIPS 2022--2024, ICLR 2023--2024, PLOS Computational Biology.
  \item \textbf{Organiser}: Cambridge Computational Neuroscience Symposium, 2021.
  \item \textbf{Mentor}: Widening Participation Programme, University of Cambridge, 2020--2023.
\end{itemize}

% ── Skills
\cvsect{Skills}
\begin{tabular}{@{}lp{0.72\linewidth}}
  \textbf{Programming} & Python (PyTorch, JAX, NumPy, SciPy), MATLAB, R, Stan\\
  \textbf{Tools}       & Git, \LaTeX{}, Slurm/HPC, Docker, Jupyter\\
  \textbf{Languages}   & English (native), French (B2), German (A2)\\
\end{tabular}

% ── References
\cvsect{References}
Available on request. Full publication list and code at \href{https://janesmith.github.io}{janesmith.github.io}.

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