Relaterat
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2014年入行,在美甲業已有9年經歷
想透過這個平台來分享一些我的經驗與故事
並且傳達正確的美甲知識與自我的理念
希望在這裡能提供幫助給一些剛入行的新手
以及在美甲路上遇到困難的同行
藉由善的循環改變美甲行業,
想用自己一點一滴的小力量讓這個圈子能越來越好。
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Welcome to Success by Design, the podcast that empowers high achievers to take control of their career, elevate their businesses, and find greater balance and fulfillment in life.
I'm your host Tim Madden and I offer actionable insights, strategies, and expert interviews that guide you toward meaningful growth. Whether you’re striving for a breakthrough in your current role, seeking to pivot, or aiming to elevate your business, Success by Design is here to help you reach your potential.
Join us weekly to transform your career and business—and design the success you deserve.
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Unlock the secrets of a career in neuroscience and neurotechnologies with our neuron-packed podcast! From inspiring success stories to cutting-edge industry advancements, we've got it all. Join us as we chat with exclusive guests and uncover the keys to thriving in this dynamic field. Plus, we'll dive into some mind-blowing topics like neuroenhancement, brain-computer interfaces, and the future of brain-based technologies. Whether you're just starting out or looking to take your career to the next level, this is the podcast for you. So, come along for the ride and discover your unique path in neuroscience with us!
Hosted by The Institute of Neuroapproaches LLC and its founder, Milena Korostenskaja, Ph.D. Don't forget to check out our website https://www.neuroapproaches.org/ and subscribe to our newsletter https://www.neuroapproaches.org/neurocareers-news for even more fun and engaging insights and updates. -
No matter what your passion is, there’s a career for everyone in food—and we’re here to help you find it!
On this podcast, we interview professionals across the food processing sector to uncover the stories behind their unique roles Discover what they do, why they do it and how they are shaping the world of food.
Whether you're a student figuring out your next steps, a young professional seeking career guidance, or an industry veteran exploring new opportunities, this podcast offers valuable insights to help you navigate your career journey.
Join host Veronica Hislop as she speaks with experts from all corners of the food industry. From food scientists to farmers, plant managers to programmers, food safety technicians to skilled trades, supply chain managers to sales, we’ll explore a wide range of exciting careers.
We’re here to celebrate food industry professionals and proudly say—That's a Food Job! -
Learn the science and creativity behind flavor. FONA’s Flavor University® Podcast takes you behind the scenes to where taste begins. Listen as flavor professionals talk about the how, what, and why behind the flavors in food, beverage and healthcare products. From the science of taste and aroma to predicting the next trends in flavor innovation to understanding regulatory labels, and so much more. Listen in and get a taste of Flavor University!
Looking to learn more? Check out our Flavor University Page:
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Wondering how to get a job? Then this course is for you. Learn the secret job search strategies of top candidates to find meaningful work, build your network, and have long lasting career success.
If you want to learn how to land your dream job in any type of market, then join for FREE at Plato.University/courses/career to get exclusive access to lesson content, worksheets, coaching, and a learning community.
How to Start a Career is a skill course brought to you by Plato University. -
What can Marxism teach us about marketing? Is Communist thinking relevant when applied to a modern drink’s marketing strategy? The successful sale of white cider to people from poorer economic demographics has not gone unnoticed and many social commentators have criticised the manner in which the drink has been marketed. In a Capitalist system, should we expect all market opportunities to be exploited regardless of moral implications? What conclusions can be drawn when we apply Neo-Marxist thinking to the marketing of white cider, and its impact on the consumers it targets? In this audio collection The Open University’s Andrew Lindridge, Senior Lecturer in Marketing, uses this unique example to encourage the development of critical thinking skills.
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あなたはダイヤモンドより価値があることを知っていますか? ダイヤモンドがなぜ高額なのか、それは稀少価値があるからです。 稀少価値、めったに見ることが出来ないものということですね。 では、あなたはどうでしょうか。 あなたという人間はこの世の中にたったひとりです。 ということは、ダイヤモンドより価値があるのです! その価値を知って、もっと自分らしくイキイキと生きられるエッセンスをお伝え致します。 【プロフィール】 (一社)日本適性力学協会認定ウェルスダイナミクスコンサルタント inspirit代表 一生変わらない自分のトリセツ(取扱説明書)がわかるウェルスダイナミクス理論を使って、自己肯定感の向上、目標達成、職場のチームワーク向上等の内容を、個人の方から企業、団体まで幅広く、様々なニーズにお応えすべく、自分で自分の価値、才能という花を開いていただく方法をセミナー、研修、個人セッションを通して伝えています。 ミッション(使命)は、ひとりでも多くの人が自分らしくイキイキと生きられる 社会を作ること。一男一女の母 LINE公式アカウント https://lin.ee/m5U9I3n ホームページ https://inspiriter.net/ インスタグラム https://www.instagram.com/inspirit_mariko_nakai/
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Learn about aluminum anodizing, the technology that makes aluminum look like aluminum and stay in good shape, in things from window frames and jet planes to your iPhone. Join George, Tej, Nathan, and Mark from the Aluminum Anodizers Council, with guest speakers talking about topics from process best practices to regulatory issues to environmental impact to Where is anodization even used? Tune in if you’re an anodizer, or you want to use anodizing to put color in your aluminum, or if you just think running loads of electricity through metal and acid sounds fun.
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This podcast aims at exploring the question: What's Your Major? Each week we will have three guests from all over the country at different universities on to discuss the who, what, where, when, and why regarding their intended major. This podcast is made for, by, and with college students but in reality is intended for any person who is interested in listening to college students talk about their majors. Episodes will be released three times a week on Monday, Wednesday, and Friday. Hope you enjoy!
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How do you make decisions? How do you feel about your choices? This podcast will help you SIMPLIFY decision making and empower you to TRUST every choice you make. (Yaaaas!)
I've been coaching big-brained high-achievers for years, helping them drop lifelong habits of overthinking & harsh self-criticism — so they can make powerful, authentic, self-honoring decisions every day.
And now I'm sharing the science-based, tried-and-tested strategies that will work for YOU. Tune in every Thursday for tools to get out of overwhelm, angst & confusion - and finally feel present in your life, grounded in who you are, and certain of where you're going.
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Traiter des données pour valider une hypothèse ou estimer des paramètres est longtemps resté du ressort exclusif des statistiques. Cependant, l'augmentation de leur dimension a fait exploser la combinatoire des possibles. Cette malédiction de la dimensionalité est une difficulté centrale de l'analyse de données, que ce soit des images, sons, textes, ou des mesures expérimentales comme en physique, biologie ou économie. Modéliser et représenter les structures cachées des données fait appel à diverses branches des mathématiques, mais aussi à l'informatique. Les algorithmes d'apprentissage statistique, comme les réseaux de neurones, sont configurés pour optimiser l'analyse des données à partir d'exemples. Ils sont à l'origine des résultats spectaculaires de l'intelligence artificielle. Les applications scientifiques, industrielles et sociétales sont considérables, et leurs performances progressent bien plus vite que notre maîtrise de leurs propriétés mathématiques.
La chaire propose un enseignement de mathématiques appliquées, qui tente de combler le fossé entre la jungle des nouveaux développements algorithmiques et la compréhension des principes généraux sous-jacents. Les applications couvrent tous les aspects du traitement du signal et de l'apprentissage statistique. Au-delà des statistiques et des probabilités, cela fait appel à l'analyse harmonique, à l'optimisation et à la géométrie. L'étude d'applications et de nouveaux algorithmes est proposée dans le cadre de challenges de données, qui sont organisés par la chaire.
L'équipe de recherche de Stéphane Mallat à l'ENS étudie les principes permettant de structurer l'analyse de données pour échapper à la malédiction de la dimensionalité. Elle développe notamment des modèles de réseaux de neurones, basés sur des principes de séparation d'échelles par ondelettes, de parcimonie et d'invariance. Les applications concernent aussi bien la reconnaissance d'images ou de sons que l'estimation de mesures physiques. Pour plus d'informations, on pourra consulter le site internet de l'équipe de recherche.
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