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SMLC-NYSBC · Feb 8, 2024 · a6962d8 · a6962d8
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Showing 1 changed file with 46 additions and 37 deletions.
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@@ -119,7 +119,8 @@ <h1 class="intro-header" data-aos="fade-up">About conference</h1>
 			</div>
 			<div class="col-eight">
 				<p>
-				The NYSBC Label-aton 2024 workshop, hosted at the FlatIron Institute in the heart of New York City, from April 24-26, 2024. <br><br>
+					The NYSBC Label-aton 2024 workshop, hosted at the FlatIron Institute in the heart of New York City,
+					from April 24-26, 2024. <br><br>
 
 				<h3>Workshop Highlights [TL;DR]:</h3>
 				<ul>
@@ -129,15 +130,22 @@ <h3>Workshop Highlights [TL;DR]:</h3>
 					<li>Co-authorship opportunity in a pioneering publication.</li>
 				</ul>
 
-				This three-day event offers a unique blend of theoretical insights and hands-on experiences in the exciting field of cryo-electron tomography (cryo-ET).
-				You'll be guided through the theory of cryo-ET process, from specimen preparation to data acquisition, and computational processing. 
-				Whether you're just starting out or looking to deepen your understanding of Cryo-ET, this workshop offers valuable insights and knowledge to enhance your expertise. <br><br>
-
-				It's not just learning; it's about making a real impact. 
-				A key component of our workshop is the introduction of the "Labeling-aton" initiative. 
-				A hands-on session dedicated to showcasing our cutting-edge active learning workflow for particle picking from Cryo-ET images. 
-				This workflow would involve human-in-the-loop approach which with the help of participants would allow us to interacts with machine learning algorithm to actively refine our model and create multi-particle curated datasets.
-				By contributing to this dataset, participants will not only gain practical experience in particle picking but also have the opportunity to be co-authors of a groundbreaking publication. <br><br>
+				This three-day event offers a unique blend of theoretical insights and hands-on experiences in the
+				exciting field of cryo-electron tomography (cryo-ET).
+				You'll be guided through the theory of cryo-ET process, from specimen preparation to data acquisition,
+				and computational processing.
+				Whether you're just starting out or looking to deepen your understanding of Cryo-ET, this workshop
+				offers valuable insights and knowledge to enhance your expertise. <br><br>
+
+				It's not just learning; it's about making a real impact.
+				A key component of our workshop is the introduction of the "Labeling-aton" initiative.
+				A hands-on session dedicated to showcasing our cutting-edge active learning workflow for particle
+				picking from Cryo-ET images.
+				This workflow would involve human-in-the-loop approach which with the help of participants would allow
+				us to interacts with machine learning algorithm to actively refine our model and create multi-particle
+				curated datasets.
+				By contributing to this dataset, participants will not only gain practical experience in particle
+				picking but also have the opportunity to be co-authors of a groundbreaking publication. <br><br>
 				</p>
 			</div>
 		</div>
@@ -151,17 +159,18 @@ <h1 class="intro-header" data-aos="fade-up">Registration</h1>
 			</div>
 			<div class="col-eight">
 				<p class="lead" data-aos="fade-up">
-				Max. 25 participants <br><br>
-				
-				Deadlines:
+					Max. 25 participants <br><br>
+
+					Deadlines:
 				<ul>
-				<li>Registration deadline - till 17.03.2024</li>
-				<li>Announcement of selected participants - till 24.03.2024</li>
+					<li>Registration deadline - till 17.03.2024</li>
+					<li>Announcement of selected participants - till 24.03.2024</li>
 				</ul>
 				</p>
 
 				<ul>
-					<a href="https://forms.gle/p67E3kTHgmMzVHNt8" title="sign-up" class="button button-primary cta">Register</a>
+					<a href="https://forms.gle/p67E3kTHgmMzVHNt8" title="sign-up"
+						class="button button-primary cta">Register</a>
 				</ul>
 			</div>
 		</div>
@@ -466,57 +475,57 @@ <h1 class="intro-header-sp" data-aos="fade-up">Organizers</h1>
 					<li>
 						<a class="badge-org-tb" data-aos="fade-up"></a>
 						<p>
-							<h5>Tristan Bepler</h5>
-							Simons Machine Learning Center <br>
-							NY, USA
+						<h5>Tristan Bepler</h5>
+						Simons Machine Learning Center <br>
+						NY, USA
 						</p>
 					</li>
 					<li>
 						<a class="badge-org-adm" data-aos="fade-up"></a>
 						<p>
-							<h5>Alex De Marco</h5>
-							Simons Machine Learning Center <br>
-							NY, USA
+						<h5>Alex De Marco</h5>
+						Simons Machine Learning Center <br>
+						NY, USA
 						</p>
 					</li>
 					<li>
 						<a class="badge-org-dg" data-aos="fade-up"></a>
 						<p>
-							<h5>Darnell Granberry</h5>
-							Simons Machine Learning Center <br>
-							NY, USA
+						<h5>Darnell Granberry</h5>
+						Simons Machine Learning Center <br>
+						NY, USA
 						</p>
 					</li>
 					<li>
 						<a class="badge-org-ai" data-aos="fade-up"></a>
 						<p>
-							<h5>Aygul Ishemgulova</h5>
-							Simons Machine Learning Center <br>
-							NY, USA
+						<h5>Aygul Ishemgulova</h5>
+						Simons Machine Learning Center <br>
+						NY, USA
 						</p>
 					</li>
 					<li>
 						<a class="badge-org-nj" data-aos="fade-up"></a>
 						<p>
-							<h5>Navya Jain</h5>
-							Simons Machine Learning Center <br>
-							NY, USA
+						<h5>Navya Jain</h5>
+						Simons Machine Learning Center <br>
+						NY, USA
 						</p>
 					</li>
 					<li>
 						<a class="badge-org-rk" data-aos="fade-up"></a>
 						<p>
-							<h5>Robert Kiewisz</h5>
-							Simons Machine Learning Center <br>
-							NY, USA
+						<h5>Robert Kiewisz</h5>
+						Simons Machine Learning Center <br>
+						NY, USA
 						</p>
 					</li>
 					<li>
 						<a class="badge-org-an" data-aos="fade-up"></a>
 						<p>
-							<h5>Alex Nobel</h5>
-							Simons Machine Learning Center <br>
-							NY, USA
+						<h5>Alex Noble</h5>
+						Simons Machine Learning Center <br>
+						NY, USA
 						</p>
 					</li>
 				</ul>