JezK

Edit File: 1647529133.M736317P65254.mocha3025.mochahost.com,S=36231,W=36797:2,S

From: <dr.niazi@jack.ngo>
To: <dr.tokhi@jack.ngo>,
	<dr.malik@jack.ngo>
Subject: Action plan for GCMUPMO findings 9-Sartan-99.xlsx
Date: Tue, 21 Jul 2020 12:01:04 +0430
Message-ID: <01e501d65f30$e6a832e0$b3f898a0$@jack.ngo>
MIME-Version: 1.0
Content-Type: multipart/mixed;
	boundary="----=_NextPart_000_5E00B_01D83A35.3CA1E430"
Thread-Index: AQD0eZqiSpOxbSO+AVCdRBiO2oB9Gg==
Content-Language: en-us

This is a multipart message in MIME format.

------=_NextPart_000_5E00B_01D83A35.3CA1E430
Content-Type: multipart/alternative;
	boundary="----=_NextPart_001_5E00C_01D83A35.3CA1E430"

------=_NextPart_001_5E00C_01D83A35.3CA1E430
Content-Type: text/plain;
	charset="utf-8"
Content-Transfer-Encoding: 8bit

Dear Dr. Sahib Tokhi and Dr. Sahib Malik.

Please find the GCMU/PMO findings on 9-Saratan for your mission assessment.

Thanks in advance,

_______________________________

Dr. Samayullah Niazi

COVID-19 Project Coordinator

Just for Afghan Capacity and Knowledge (JACK) بلند بردن سطح دانش و توانمندی 
افغانها (جک)

Phone #: +93 (0)79 903 8163 (WhatsApp & Viber), +93 (0)70 244 0042

Skype ID: Samayullah.Niazi

Email: <mailto:dr.niazi@jack.ngo> dr.niazi@jack.ngo

Website:www.jack.ngo

______________________________________

------=_NextPart_001_5E00C_01D83A35.3CA1E430
Content-Type: text/html;
	boundary="----=_NextPart_000_01E6_01D65F56.9E9C7C10";
	charset="utf-8"
Content-Transfer-Encoding: quoted-printable

<META HTTP-EQUIV=3D"Content-Type" CONTENT=3D"text/html; =
charset=3Dutf-8">
<html xmlns:v=3D"urn:schemas-microsoft-com:vml" =
xmlns:o=3D"urn:schemas-microsoft-com:office:office" =
xmlns:w=3D"urn:schemas-microsoft-com:office:word" =
xmlns:m=3D"http://schemas.microsoft.com/office/2004/12/omml" =
xmlns=3D"http://www.w3.org/TR/REC-html40"><head><meta name=3DGenerator =
content=3D"Microsoft Word 15 (filtered medium)"><style></style></head><body lang=3DEN-US =
link=3D"#0563C1" vlink=3D"#954F72"><div class=3DWordSection1>Dear Dr. Sahib Tokhi and Dr. Sahib =
Malik.<o:p></o:p><o:p>&nbsp;</o:p>Please find the GCMU/PMO findings on 9-Saratan for =
your mission assessment.<o:p></o:p><o:p>&nbsp;</o:p>Thanks in =
advance,<o:p></o:p><o:p>&nbsp;</o:p>_______________________________<o:p></o:p><=
/span>Dr. Samayullah Niazi<o:p></o:p>COVID-19 Project =
Coordinator<o:p></o:p>Just for Afghan Capacity and Knowledge =
(JACK) =D8=A8=D9=84=D9=86=D8=AF =D8=A8=D8=B1=D8=AF=D9=86 =
=D8=B3=D8=B7=D8=AD =D8=AF=D8=A7=D9=86=D8=B4 =D9=88 =
=D8=AA=D9=88=D8=A7=D9=86=D9=85=D9=86=D8=AF=DB=8C =
=D8=A7=D9=81=D8=BA=D8=A7=D9=86=D9=87=D8=A7 (=D8=AC=DA=A9)&nbsp;=C2=A0 =
<o:p></o:p>Phone #: +93 (0)79 903 8163 (WhatsApp =
&amp; Viber), +93 (0)70 244 0042<o:p></o:p>Skype ID: =
Samayullah.Niazi<o:p></o:p>Email: <a =
href=3D"mailto:dr.niazi@jack.ngo">dr.niazi@jack.ngo</a> &nbsp; =
<o:p></o:p>Website:www.jack.ngo =
<o:p></o:p>______________________________________</spa=
n><o:p></o:p><o:p>&nbsp;</o:p><o:p>&nbsp;</o:p></div></body></html>
------=_NextPart_001_5E00C_01D83A35.3CA1E430--

------=_NextPart_000_5E00B_01D83A35.3CA1E430
Content-Type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;
	name="Action plan for GCMUPMO findings 9-Sartan-99.xlsx"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
	filename="Action plan for GCMUPMO findings 9-Sartan-99.xlsx"
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------=_NextPart_000_5E00B_01D83A35.3CA1E430--