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Copy file name to clipboardExpand all lines: join.html
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<spanclass="join-hero-label">Opportunities</span>
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<h1class="join-hero-h1">Join the Lab</h1>
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<pclass="join-hero-subtitle">
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We welcome motivated scientists passionate about computational biology,
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transcriptomics, and understanding disease. Get in touch with
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We welcome collegial, critical-thinking, ethically upright,
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and highly motivated scientists passionate about computational
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biology and biomedical research. Get in touch with
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<ahref="sections/nuno.html">Nuno</a> if you are interested in our work.
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</p>
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</div>
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<!-- When no positions are open, keep this paragraph visible.
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Delete it when at least one .position-card is active above. -->
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<pclass="no-positions">
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No positions are currently advertised. Please check back, or get in touch speculatively; we are always happy to hear from exceptional candidates.
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No positions are currently advertised. Please check back
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regularly, or get in touch speculatively — we are always happy to hear from talented and motivated candidates.
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</p>
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</div>
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your CV, and the contacts of two references.
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</p>
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<pclass="join-intro">
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By default, candidates are expected to apply to their own fellowships.
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By default, candidates are expected to apply to their own
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fellowships (see types of opportunities below).
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When funded positions are available, they are announced above.
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We encourage prospective candidates to contact us <strong>before</strong>
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calls open so there is time to prepare a competitive application together.
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<divclass="expectations-box">
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<h3>What we look for</h3>
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<ul>
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<li>Genuine scientific curiosity and intellectual rigour</li>
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<li>Motivation to ask important biological questions using computational approaches</li>
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<li>Commitment to reproducible, high-quality research</li>
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<li>Collaborative spirit and willingness to engage critically with ideas</li>
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<li>Genuine scientific curiosity, intellectual rigour, and ethical uprightness</li>
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<li>Motivation to address important biomedical questions using computational approaches</li>
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<li>A commitment to rigorous, reproducible, transparent, and high-quality research</li>
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<li>A collaborative spirit and willingness to engage critically with ideas</li>
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<li>An interest in developing computational approaches when they address genuine unmet needs in biomedical research</li>
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<li>A desire to make computational methods intelligible and useful to the broader biomedical research community</li>
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</ul>
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<p>
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We are <strong>not</strong> the right fit for candidates primarily seeking to learn
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specific technical skills as an end in themselves. We value people driven by
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scientific questions, for whom methodology is a means rather than a goal.
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</p>
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<strong>We seek truth, not glory</strong>: we value reliable knowledge over fashionable results, methodological novelty for its own sake, or personal recognition.<BR>
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We are <strong>not</strong> the right fit for candidates whose primary goal is to acquire technical skills as ends in themselves. We are interested in people who see computational methods as tools—whether existing or newly developed—for answering important biological questions and making biomedical research more rigorous, transparent, and accessible.
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</p>
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</div>
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<h3>Postdoctoral Researchers</h3>
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</div>
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<p>
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We are particularly happy to support the application of very promising young scientists
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(with the quality, motivation, and ambition to become group leaders) to competitive
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fellowship schemes. Funding sources we can support applications to include:
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Should we be chosen as hosts, we are particularly happy to support the application of very promising young scientists
Copy file name to clipboardExpand all lines: sections/team.html
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<spanclass="member-flag">🇵🇹</span>
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</div>
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<pclass="member-bio"> Trained as an engineer in physics, transitioned into biomedical sciences during a PhD on RNA splicing and its evolutionary complexity, with research conducted across Cambridgeand EMBL Heidelberg. Further developed expertise in computational genomics and alternative splicing evolution through postdoctoral work in Cambridge and Toronto, before establishing an independent research program on transcriptomics and gene regulation in human disease. </p>
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<pclass="member-bio">I am trained as an engineer in physics and transitioned into biomedical sciences through a PhD in which I used bioinformatics to study the evolution of alternative splicing regulation, with research carried out in Cambridge, Lisbon, and at EMBL Heidelberg. I subsequently developed further expertise in bioinformatics and evolutionary computational genomics as a postdoctoral researcher in Cambridge and Toronto, before establishing an independent research programme focused on computational biology and human disease transcriptomics.</p>
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