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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">Asunto:
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<td>Last call for DeMythif.AI PhD program (was : 21
international PhD Grants on AI uncertainties (AI and
science) U Paris Saclay)</td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">Fecha: </th>
<td>Wed, 8 Jan 2025 17:53:36 +0100</td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">De: </th>
<td>David Rousseau <a class="moz-txt-link-rfc2396E" href="mailto:rousseau@ijclab.in2p3.fr"><rousseau@ijclab.in2p3.fr></a></td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">Para: </th>
<td>lhc-machinelearning-wg
<a class="moz-txt-link-rfc2396E" href="mailto:lhc-machinelearning-wg@cern.ch"><lhc-machinelearning-wg@cern.ch></a></td>
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<p>Hi, <br>
</p>
<p>A reminder about this unique program, deadline in 9 days.</p>
<p>(As I was asked several times, living in France and working at
CERN count as being in France towards the one year limit.)<br>
</p>
<p>The 7 topics, at CEA-Saclay or IJCLab-Orsay, concerning
particle physics, neutrino and nuclear field:</p>
<ul
style="box-sizing: border-box; margin-top: 0px; margin-bottom: 1em; caret-color: rgba(0, 0, 0, 0.8); color: rgba(0, 0, 0, 0.8); font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, "Helvetica Neue", Arial, "Noto Sans", sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol", "Noto Color Emoji"; font-size: 14px; font-style: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: auto; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: auto; word-spacing: 0px; -webkit-text-stroke-width: 0px; text-decoration: none;">
<li style="box-sizing: border-box;">Machine learning algorithms
for the analysis of time-of-flight mass spectra with a gold
nanoparticle probe: Classification, quantification and
identification of complex compounds</li>
<li style="box-sizing: border-box;">Transfer Learning Approaches
Leveraging Nuclear Ab Initio Reaction Models</li>
<li style="box-sizing: border-box;">Challenging neutrino events
reconstruction in the DUNE liquid argon time projection
chamber with advanced machine learning methods</li>
<li style="box-sizing: border-box;">Development of a ML-based
analysis framework for fast characterization of nuclear waste
containers by muon tomography.</li>
<li style="box-sizing: border-box;">Machine learning for visual
inspection and final state reconstruction in the ATLAS
experiment</li>
<li style="box-sizing: border-box;">Development of an AI-based
framework in Neutrino Physics: a focus on time series event
reconstruction and multivariate science analyses</li>
<li style="box-sizing: border-box;">artificial intelligence to
simulate big data and search for the higgs boson decay to a
pair of muons with the ATLAS experiment at the Large Hadron
Collider</li>
</ul>
<p>Please don't hesitate to contact me in private for further
details if necessary</p>
<p>Best regards</p>
<p>David Rousseau<br>
</p>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">Sujet :
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<td>21 international PhD Grants on AI uncertainties (AI
and science) U Paris Saclay</td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">Date :
</th>
<td>Thu, 21 Nov 2024 18:55:00 +0100</td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">De : </th>
<td>David Rousseau <a class="moz-txt-link-rfc2396E"
href="mailto:rousseau@ijclab.in2p3.fr"
moz-do-not-send="true"><rousseau@ijclab.in2p3.fr></a></td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">Pour :
</th>
<td>lhc-machinelearning-wg <a
class="moz-txt-link-rfc2396E"
href="mailto:lhc-machinelearning-wg@cern.ch"
moz-do-not-send="true"><lhc-machinelearning-wg@cern.ch></a></td>
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<br>
Hi,<br>
<br>
Science or AI students can apply to 48 PhD topics at University
Paris Saclay, 21 will be funded to start fall 2025. 7 PhD topics
are in the particle physics, neutrino and nuclear field.<br>
<br>
<a class="moz-txt-link-freetext"
href="https://urldefense.com/v3/__https://www.dataia.eu/en/open-call-cofund-demythifai-call-application-2024__;!!D9dNQwwGXtA!QsVo4DcFHgAbdMEy9Ke6fIZ86rhTUWCfMqssIeKwI4fjOTuD4rff_ZDqzDKZl4xBa3NdSuwzzL7ah4O9WG_UPo5_e1vREQ$"
moz-do-not-send="true">https://www.dataia.eu/en/open-call-cofund-demythifai-call-application-2024</a><br>
<br>
The theme is AI and uncertainties but many PhD topics are really
AI and science . The main condition (besides usual academic
ones, and excellence) is to not have been in France for more
than one year from 18th Jan 2022 to 17th Jan 2025.<br>
<br>
In the list of PhD please check Doctoral School : Particles,
Hadrons, Energy, Nuclei, Instrumentation, Imaging, Cosmos and
Simulation at IJCLab (Laboratoire de Physique des deux Infinis
Irène Joliot-Curie ) and at CEA Saclay (the next two Département
in the list).<br>
<br>
I am one of the organiser, I have not submitted any PhD topic
myself. Do not hesitate to ask me more details.<br>
<br>
Best regards<br>
<br>
David Rousseau<br>
<br>
<pre class="moz-signature">--
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David Rousseau, DR CNRS, <a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:david.rousseau@ijclab.in2p3.fr"
moz-do-not-send="true">david.rousseau@ijclab.in2p3.fr</a>
<a class="moz-txt-link-freetext"
href="https://urldefense.com/v3/__https://users.ijclab.in2p3.fr/david-rousseau/__;!!D9dNQwwGXtA!QsVo4DcFHgAbdMEy9Ke6fIZ86rhTUWCfMqssIeKwI4fjOTuD4rff_ZDqzDKZl4xBa3NdSuwzzL7ah4O9WG_UPo5JoboxhA$"
moz-do-not-send="true">https://users.ijclab.in2p3.fr/david-rousseau/</a>
IJCLab-Orsay, CNRS/IN2P3, Université Paris-Saclay, France
@ IJCLab : Bat 200 Pièce 142 : +33 (0)1 69 15 41 40
@ CERN : 40/1-D12 : +41 (22) 76 66211
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